Tootfinder

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons
Patrick Stadler, Christopher Lazik, Christopher Katins, Thomas Kosch
https://arxiv.org/abs/2506.23694

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons
The process of requirements analysis requires an understanding of the end users of a system. Thus, expert stakeholders, such as User Experience (UX) designers, usually create various descriptions containing information about the users and their possible needs. In our paper, we investigate to what extent UX novices are able to write such descriptions into user scenarios. We conducted a user study with 60 participants consisting of 30 UX experts and 30 novices who were asked to write a user scena…

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 84 nodes and 77 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
h…

DV365: Extremely Long User History Modeling at Instagram
Wenhan Lyu, Devashish Tyagi, Yihang Yang, Ziwei Li, Ajay Somani, Karthikeyan Shanmugasundaram, Nikola Andrejevic, Ferdi Adeputra, Curtis Zeng, Arun K. Singh, Maxime Ransan, Sagar Jain
https://arxiv.org/abs/2506.00450

DV365: Extremely Long User History Modeling at Instagram
Long user history is highly valuable signal for recommendation systems, but effectively incorporating it often comes with high cost in terms of data center power consumption and GPU. In this work, we chose offline embedding over end-to-end sequence length optimization methods to enable extremely long user sequence modeling as a cost-effective solution, and propose a new user embedding learning strategy, multi-slicing and summarization, that generates highly generalizable user representation of …

Towards a unified user modeling language for engineering human centered AI systems
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
https://arxiv.org/abs/2505.24697

Towards a unified user modeling language for engineering human centered AI systems
In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent user interfaces, such as AI-based conversational agents, has the potential to enable such personalization beyond what other types of interfaces could offer in the past. Personalization requires the ability to specify a complete user profile, covering as many dimensions as possible, such as potential accessibility cons…

Researchers say tactics used to make AI more engaging, like making them more agreeable, can make chatbots reinforce harmful ideas, like encouraging drug use (Nitasha Tiku/Washington Post)

Your chatbot friend might be messing with your mind
OpenAI, Meta and others want people to spend more time with AI chatbots, but there is growing evidence that they can hook users or reinforce harmful ideas.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
Jiayi Lu, Wanting Yang, Zehui Xiong, Rahim Tafazolli, Tony Q. S. Quek, M\'erouane Debbah, Dong In Kim
https://arxiv.org/abs/2507.01333

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
With the booming development of generative artificial intelligence (GAI), semantic communication (SemCom) has emerged as a new paradigm for reliable and efficient communication. This paper considers a multi-user downlink SemCom system, using vehicular networks as the representative scenario for multi-user content dissemination. To address diverse yet overlapping user demands, we propose a multi-user Generative SemCom-enhanced intent-aware semantic-splitting multiple access (SS-MGSC) framework. …

“Check / Uncheck all in a Table”
https://adrianroselli.com/2025/07/check-uncheck-all-in-a-table.html
TL;DR: Unless you have user testing results saying otherwise, maybe put a check-all checkbox outside the table.
The rest of this thread ha…

Check / Uncheck all in a Table
TL;DR: Unless you have user testing results saying otherwise, maybe put a check-all checkbox outside the table. The rest of this post is an awkward mash-up of my posts Don’t Turn a Table into an ARIA Grid Just for a Clickable Row and Check-All / Expand-All Controls with a little…

The dbcooper package turns a database connection into a collection of functions. #rstats

GitHub - pipeline-tools/dbcooper: Create user-friendly accessor functions from a database connection
Create user-friendly accessor functions from a database connection - pipeline-tools/dbcooper

Fair Rate Maximization for Fluid Antenna Relay (FAR)-assisted Multi-user MISO Communications
Ruopeng Xu, Zhaohui Yang, Ting Zhang, Mingzhe Chen, Chen Zhu, Zhaoyang Zhang
https://arxiv.org/abs/2507.00529

Fair Rate Maximization for Fluid Antenna Relay (FAR)-assisted Multi-user MISO Communications
In this paper, we investigate the problem of max-min rate maximization in fluid antenna relay (FAR)-assisted multi-user uplink multiple-input single-output (MISO) wireless systems, where each user is equipped with a single fluid antenna (FA) and the base station (BS) is equipped with multiple FAs. Unlike most existing relevant work focusing on maximizing sum rate of the fluid antenna system (FAS), which may cause unbearable rate loss to weak users, we propose to maximize the minimal rate of the…

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 423 nodes and 667 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

(YouTube) From blindness to cyber brilliance, from "seeing with sound" to securing cyberspace, the journey of Pranav Lal, congenitally blind user of The vOICe vision BCI in India https://www.youtube.com/watch?v=aWlVKDpZ6hU

Agentic Enterprise: AI-Centric User to User-Centric AI
Arpit Narechania, Alex Endert, Atanu R Sinha
https://arxiv.org/abs/2506.22893 https://

Agentic Enterprise: AI-Centric User to User-Centric AI
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We hi…

Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Mayar Elfares, Pascal Reisert, Ralf K\"usters, Andreas Bulling
https://arxiv.org/abs/2507.00596

Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Privacy is a highly subjective concept and perceived variably by different individuals. Previous research on quantifying user-perceived privacy has primarily relied on questionnaires. Furthermore, applying user-perceived privacy to optimise the parameters of privacy-preserving techniques (PPT) remains insufficiently explored. To address these limitations, we introduce Gaze3P -- the first dataset specifically designed to facilitate systematic investigations into user-perceived privacy. Our datas…

“As design ethicist Aral Balkan explains: ‘Dark patterns might boost short-term metrics, but they ultimately corrode trust and damage brand reputation. Ethical design creates sustainable relationships rather than one-time transactions.’”
https://ui-deploy.com/blog/e…

Ethical Dark Patterns: Identifying and Avoiding Manipulative Design
Learn to identify and avoid manipulative dark patterns in favor of ethical design that builds long-term user trust.

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 300 nodes and 414 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

👀 #QGIS vs #Arcgis from an industry perspective https://www.wigeogis.com/en/arcgis_vs_qgis

Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
Chao Wang, Yue Zheng, Yujing Zhang, Yan Feng, Zhe Wang, Xiaowei Shi, An You, Yu Chen
https://arxiv.org/abs/2506.00828

Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
In a single-slot recommendation system, users are only exposed to one item at a time, and the system cannot collect user feedback on multiple items simultaneously. Therefore, only pointwise modeling solutions can be adopted, focusing solely on modeling the likelihood of clicks or conversions for items by users to learn user-item preferences, without the ability to capture the ranking information among different items directly. However, since user-side information is often much more abundant tha…

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
Stefan Pasch
https://arxiv.org/abs/2506.00080 https://

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the development and application of AI. While such frameworks offer valuable normative orientation, they may not fully capture the practical concerns of those who interact with AI systems in organizational and operational contexts. To address this gap, this study adopts a bottom-up approach to explore how governance-relev…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Ziliang Zhang, Cong Liu, Hyoseung Kim
https://arxiv.org/abs/2506.01135

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

As a forum user from back in the 90s til recently, something that also bugs me, and apparently a lot of people, I felt this piece
'One last time, Discord is not a suitable replacement for forums': https://aftermath.site/discord-forums-

One Last Time, Discord Is Not A Suitable Replacement For Forums - Aftermath
They are not the same thing

if you follow this account bluesky then remember to follow this bridge account so I can see your posts and stuff
https://bsky.app/profile/did:plc:xbifsywyv5pka5jlknhv5yv3

Related: modal dialogs confirming destructive operations are a sign your UI is not good. Operations should be reversible so that the user can simply undo mistakes, not be interrupted in a failing effort to prevent them.

At the Semantic Digital Humanities 2025 Workshop, Jose Maldonado-Rodríguez is presenting "Natural Language Querying for Humanities #KnowledgeGraphs A case study on the GOLEM KG". Main contribution is a bilingual dataset (English-Spanish) specifically designed to evaluate automatic text-to-SPARQL translation systems for GOLEM, a specialized humanities KG.
paper:

eduGAIN is expanding across Africa! 🌍
Five new countries: 🇹🇬 Togo, 🇧🇫 Burkina Faso, 🇲🇼 Malawi, 🇬🇭 Ghana, and 🇹🇿 Tanzania have joined, bringing the total on the continent to 14. 🎉
At the heart of this progress is eduID.africa (by UbuntuNet Alliance & WACREN under #AfricaConnect3), and now more researchers and students can now access global services with one trusted identity.

Five new African members join eduGAIN! | GÉANT CONNECT Online
Today, online services are crucial for research and education. These can be for e-learning, teaching and conferencing, scientific collaboration, analysing and sharing data, accessing journals and libraries. Access to these resources is usually controlled with a user name and password. As the number and variety of services expand, often being delivered by service providers outside

(1/3) Please join me today on Zoom at 12pm ET / 11am CT / 10am MT / 9am PT for "Beyond the Algorithmic Feed," a free MediaEd Club webinar for the Media Education Lab:
https://mediaeducationlab.com/index.php/events/beyond-algorithmic-feed
While som…

I've seen several requests to create a setting to hide the dropdown bar in #Jellyfin for #Roku.
I don't like this idea for a few reasons.
1. It permanently hides functionality
2. It permanently hides information
The dropdowns are how we let you know what filters ar…

HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
Liliang Ye (Huazhong University of Science and Technology, Wuhan, China), Yunyao Zhang (Huazhong University of Science and Technology, Wuhan, China), Yafeng Wu (Huazhong University of Science and Technology, Wuhan, China), Yi-Ping Phoebe Chen (La Trobe University, Melbourne, Australia), Junqing Yu (Huazhong University of Science and Technology, Wuhan, China), Wei Yang (Huazhong University of S…

HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
Social media popularity prediction plays a crucial role in content optimization, marketing strategies, and user engagement enhancement across digital platforms. However, predicting post popularity remains challenging due to the complex interplay between visual, textual, temporal, and user behavioral factors. This paper presents HyperFusion, a hierarchical multimodal ensemble learning framework for social media popularity prediction. Our approach employs a three-tier fusion architecture that pro…

Rydberg Atomic Quantum MIMO Receivers for The Multi-User Uplink
Tierui Gong, Chau Yuen, Chong Meng Samson See, M\'erouane Debbah, Lajos Hanzo
https://arxiv.org/abs/2506.01355 …

Rydberg Atomic Quantum MIMO Receivers for The Multi-User Uplink
Rydberg atomic quantum receivers (RAQRs) have emerged as a promising solution for evolving wireless receivers from the classical to the quantum domain. To further unleash their great potential in wireless communications, we propose a flexible architecture for Rydberg atomic quantum multiple-input multiple-output (RAQ-MIMO) receivers in the multi-user uplink. Then the corresponding signal model of the RAQ-MIMO system is constructed by paving the way from quantum physics to classical wireless com…

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
Shixiao Wang, Yifan Zhuang, Runsheng Zhang, Zhijun Song
https://arxiv.org/abs/2507.00540

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
This paper proposes a user semantic intent modeling algorithm based on Capsule Networks to address the problem of insufficient accuracy in intent recognition for human-computer interaction. The method represents semantic features in input text through a vectorized capsule structure. It uses a dynamic routing mechanism to transfer information across multiple capsule layers. This helps capture hierarchical relationships and part-whole structures between semantic entities more effectively. The mod…

Trade-offs in Data Memorization via Strong Data Processing Inequalities
Vitaly Feldman, Guy Kornowski, Xin Lyu
https://arxiv.org/abs/2506.01855 https://

Trade-offs in Data Memorization via Strong Data Processing Inequalities
Recent research demonstrated that training large language models involves memorization of a significant fraction of training data. Such memorization can lead to privacy violations when training on sensitive user data and thus motivates the study of data memorization's role in learning. In this work, we develop a general approach for proving lower bounds on excess data memorization, that relies on a new connection between strong data processing inequalities and data memorization. We then demonst…

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
Emma Fraxanet, Vicen\c{c} G\'omez, Andreas Kaltenbrunner, Max Pellert
https://arxiv.org/abs/2506.22224

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
We present a large-scale, longitudinal dataset capturing user activity on the online platform of DerStandard, a major Austrian newspaper. The dataset spans ten years (2013-2022) and includes over 75 million user comments, more than 400 million votes, and detailed metadata on articles and user interactions. It provides structured conversation threads, explicit up- and downvotes of user comments and editorial topic labels, enabling rich analyses of online discourse while preserving user privacy. …

Brazil is piloting dWallet, a digital wallet program that allows users to monetize their data, the first nationwide initiative of its kind in the world (Gabriel Daros/Rest of World)
https://restofworld.org/2025/brazil-dwallet-user-data-pilot/

In a world first, Brazilians will soon be able to sell their digital data
Brazil is piloting dWallet, that lets citizens earn money from their data, but experts warn it could deepen inequality.

If any fysh.org users are following, yes, it's currently down.
1. We had another slew of memory errors caught in the last hour.
2. I initiated an emergency reboot to see if that cleared them.
3. It failed on boot on first attempt, kernel panic.
4. After a reset it came up, including running the user-visible VMs (river etc), but is still logging a slew of memory errors.
5. So I've now shutdown the VMs again.
We'll be poking the service provider to s…

#Wordle 1,443 6/6*
⬜🟩🟩⬜⬜ <1% of 214,772 (26)
⬜🟩🟩⬜🟩 13% of 8 (3)
⬜🟩🟩⬜🟩 <1% of 2,846 (3)
⬜🟩🟩🟩🟩 13% of 2,851 (2)
⬜🟩🟩🟩🟩 34% of 769 (1)
🟩🟩🟩🟩🟩 95% of 1,442
WordleBot
Skill 75/99
Luck 50/99
Well that was close. I don't think there were any other words to try...oops I see, user error on 3rd guess, and then yes my last guess was the only word left.

Using SBPF to Accelerate Kernel Memory Access From Userspace
Boming Kong, Zhizhou Zhang, Jonathan Balkind
https://arxiv.org/abs/2506.22632 https://

Using SBPF to Accelerate Kernel Memory Access From Userspace
The cost of communication between the operating system kernel and user applications has long blocked improvements in software performance. Traditionally, operating systems encourage software developers to use the system call interface to transfer (or initiate transfer of) data between user applications and the kernel. This approach not only hurts performance at the software level due to memory copies between user space address spaces and kernel space address spaces, it also hurts system perform…

Spatial tangible user interfaces for cognitive assessment and training
Ehud Sharlin, Yuichi Itoh, Benjamin Watson, Yoshifumi Kitamura, Steve Sutphen, Lili Liu, Fumio Kishino
https://arxiv.org/abs/2507.01944

Spatial tangible user interfaces for cognitive assessment and training
This paper discusses Tangible User Interfaces (TUIs) and their potential impact on cognitive assessment and cognitive training. We believe that TUIs, and particularly a subset that we dub spatial TUIs, can extend human computer interaction beyond some of its current limitations. Spatial TUIs exploit human innate spatial and tactile ability in an intuitive and direct manner, affording interaction paradigms that are practically impossible using current interface technology. As proof-of-concept we…

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

5G RAN Slicing with Load Balanced Handovers
Yongzhou Chen, Muhammad Taimoor Tariq, Haitham Hassanieh, Radhika Mittal
https://arxiv.org/abs/2505.24295 https…

5G RAN Slicing with Load Balanced Handovers
With increasing density of small cells in modern multi-cell deployments, a given user can have multiple options for its serving cell. The serving cell for each user must be carefully chosen such that the user achieves reasonably high channel quality from it, and the load on each cell is well balanced. It is relatively straightforward to reason about this without slicing, where all users can share a global load balancing criteria set by the network operator. In this paper, we identify the unique…

Digital Forensic Investigation of the ChatGPT Windows Application
Malithi Wanniarachchi Kankanamge, Nick McKenna, Santiago Carmona, Syed Mhamudul Hasan, Abdur R. Shahid, Ahmed Imteaj
https://arxiv.org/abs/2505.23938

Digital Forensic Investigation of the ChatGPT Windows Application
The ChatGPT Windows application offers better user interaction in the Windows operating system (OS) by enhancing productivity and streamlining the workflow of ChatGPT's utilization. However, there are potential misuses associated with this application that require rigorous forensic analysis. This study presents a holistic forensic analysis of the ChatGPT Windows application, focusing on identifying and recovering digital artifacts for investigative purposes. With the use of widely popular and o…

Apples Vision Pro: US-Zeitung sammelt Stimmen enttäuschter User
Bald ist die Vision Pro anderthalb Jahre auf dem Markt – und der Formfaktor sorgt noch immer für Kopf- und Nackenschmerzen, schreibt das Wall Street Journal.

This https://arxiv.org/abs/2505.18882 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Large language models (LLMs) typically generate identical or similar responses for all users given the same prompt, posing serious safety risks in high-stakes applications where user vulnerabilities differ widely. Existing safety evaluations primarily rely on context-independent metrics - such as factuality, bias, or toxicity - overlooking the fact that the same response may carry divergent risks depending on the user's background or condition. We introduce personalized safety to fill this gap …

Use cookies in shiny apps: #rstats #shiny

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
Zhibo Fan, Hongtao Lin, Haoyu Chen, Bowen Deng, Hedi Xia, Yuke Yan, James Li
https://arxiv.org/abs/2506.23060

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
Industrial recommendation systems are typically composed of multiple stages, including retrieval, ranking, and blending. The retrieval stage plays a critical role in generating a high-recall set of candidate items that covers a wide range of diverse user interests. Effectively covering the diverse and long-tail user interests within this stage poses a significant challenge: traditional two-tower models struggle in this regard due to limited user-item feature interaction and often bias towards t…

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 8097 nodes and 63809 edges.
Tags: Social, Communication, Unweighted, Multigraph, …

QGIS User Conf 2025 videos have landed!
The #QGISUC2025 team has done an awesome job recording and editing the conference presentations ...
http://anitagraser.com/2025/06/25/qgi

QGIS User Conf 2025 videos have landed!
The QGISUC2025 team has done an awesome job recording and editing the conference presentations. All “presentation” type talks where the presenter has accepted to be published are now av…

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue
Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou
https://arxiv.org/abs/2506.01881

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue
Task-oriented dialogue systems often face difficulties when user utterances seem semantically complete but lack necessary structural information for appropriate system action. This arises because users frequently do not fully understand their own needs, while systems require precise intent definitions. Current LLM-based agents cannot effectively distinguish between linguistically complete and contextually triggerable expressions, lacking frameworks for collaborative intent formation. We present…

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
Jiashuo Wang, Kaitao Song, Chunpu Xu, Changhe Song, Yang Xiao, Dongsheng Li, Lili Qiu, Wenjie Li
https://arxiv.org/abs/2506.21497

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
Enhancing user engagement through interactions plays an essential role in socially-driven dialogues. While prior works have optimized models to reason over relevant knowledge or plan a dialogue act flow, the relationship between user engagement and knowledge or dialogue acts is subtle and does not guarantee user engagement in socially-driven dialogues. To this end, we enable interactive LLMs to learn user engagement by leveraging signals from the future development of conversations. Specificall…

User Concerns Regarding Social Robots for Mood Regulation: A Case Study on the "Sunday Blues"
Zhuochao Peng, Jiaxin Xu, Jun Hu, Haian Xue, Laurens A. G. Kolks, Pieter M. A. Desmet
https://arxiv.org/abs/2507.00271

User Concerns Regarding Social Robots for Mood Regulation: A Case Study on the "Sunday Blues"
While recent research highlights the potential of social robots to support mood regulation, little is known about how prospective users view their integration into everyday life. To explore this, we conducted an exploratory case study that used a speculative robot concept "Mora" to provoke reflection and facilitate meaningful discussion about using social robots to manage subtle, day-to-day emotional experiences. We focused on the "Sunday Blues," a common dip in mood that occurs at the end of t…

Learning Steerable Imitation Controllers from Unstructured Animal Motions
Dongho Kang, Jin Cheng, Fatemeh Zargarbashi, Taerim Yoon, Sungjoon Choi, Stelian Coros
https://arxiv.org/abs/2507.00677

Learning Steerable Imitation Controllers from Unstructured Animal Motions
This paper presents a control framework for legged robots that leverages unstructured real-world animal motion data to generate animal-like and user-steerable behaviors. Our framework learns to follow velocity commands while reproducing the diverse gait patterns in the original dataset. To begin with, animal motion data is transformed into a robot-compatible database using constrained inverse kinematics and model predictive control, bridging the morphological and physical gap between the animal…

Integrating Network and Attack Graphs for Service-Centric Impact Analysis
Joni Herttuainen, Vesa Kuikka, Kimmo K. Kaski
https://arxiv.org/abs/2507.00637 ht…

Integrating Network and Attack Graphs for Service-Centric Impact Analysis
We present a novel methodology for modelling, visualising, and analysing cyber threats, attack paths, as well as their impact on user services in enterprise or infrastructure networks of digital devices and services they provide. Using probabilistic methods to track the propagation of an attack through attack graphs, via the service or application layers, and on physical communication networks, our model enables us to analyse cyber attacks at different levels of detail. Understanding the propag…

Rate Maximization for Fluid Antenna System Assisted Semantic Communication
Siyun Liang, Chen Zhu, Zhaohui Yang, Changsheng You, Dusit Niyato, Kai-Kit Wong, Zhaoyang Zhang
https://arxiv.org/abs/2506.22943

Rate Maximization for Fluid Antenna System Assisted Semantic Communication
In this paper, we investigate the problem of rate maximization in a fluid antenna system (FAS) assisted semantic communication system. In the considered model, a base station (BS) with multiple static antennas employs semantic extraction techniques to compress the data ready to be sent to a user. The user equipped with a fluid antenna is located in the near field coverage region of the BS. Our aim is to jointly optimize the transmit beamforming and the semantic compression rate at the BS, as …

This https://arxiv.org/abs/2501.18160 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
Code auditing is the process of reviewing code with the aim of identifying bugs. Large Language Models (LLMs) have demonstrated promising capabilities for this task without requiring compilation, while also supporting user-friendly customization. However, auditing a code repository with LLMs poses significant challenges: limited context windows and hallucinations can degrade the quality of bug reports, and analyzing large-scale repositories incurs substantial time and token costs, hindering eff…

edit_wiktionary: Wiktionary edits (2010)
Three bipartite user-page networks extracted from Wiktionary, for French, German, and English. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 16439 nodes and 120851 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

This https://arxiv.org/abs/2412.03621 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
Large Language Models (LLMs) are increasingly integrated into mobile services over wireless networks to support complex user requests. This trend has led to longer prompts, which improve LLMs' performance but increase data transmission costs and require more processing time, thereby reducing overall system efficiency and negatively impacting user experience. To address these challenges, we propose Joint Prompt and Power Optimization (JPPO), a framework that jointly optimizes prompt compression …

A User Experience 3.0 (UX 3.0) Paradigm Framework: Designing for Human-Centered AI Experiences
Wei Xu
https://arxiv.org/abs/2506.23116 https://

A User Experience 3.0 (UX 3.0) Paradigm Framework: Designing for Human-Centered AI Experiences
User experience (UX) practices have evolved in stages and are entering a transformative phase (UX 3.0), driven by AI technologies and shifting user needs. Human-centered AI (HCAI) experiences are emerging, necessitating new UX approaches to support UX practices in the AI era. We propose a UX 3.0 paradigm framework to respond and guide UX practices in developing HCAI systems.

Enhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User Preferences
Saeid Aghasoleymani Najafabadi
https://arxiv.org/abs/2506.23085

Enhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User Preferences
The purpose of this paper is to explore a multi-modal approach to enhancing live broadcast engagement by developing a short video recommendation system that incorporates Multi-modal Graph Convolutional Networks (MMGCN) with user preferences. In order to provide personalized recommendations tailored to individual interests, the proposed system takes into account user interaction data, video content features, and contextual information. With the aid of a hybrid approach combining collaborative fi…

digg_reply: Digg reply network (2008)
Network of replies among users of digg.com. Each node in the network is a digg user, and each directed edge indicates that user i replied to user j.
This network has 30398 nodes and 87627 edges.
Tags: Social, Online, Unweighted, Multigraph
https://networks.skewed.de/net/di…

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho
https://arxiv.org/abs/2506.00781 ht…

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
Recent advances in Large Language Models (LLMs) have spurred transformative applications in various domains, ranging from open-source to proprietary LLMs. However, jailbreak attacks, which aim to break safety alignment and user compliance by tricking the target LLMs into answering harmful and risky responses, are becoming an urgent concern. The practice of red-teaming for LLMs is to proactively explore potential risks and error-prone instances before the release of frontier AI technology. This …

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/6]:
- Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles
Kuang Wang, Xianfei Li, Shenghao Yang, Li Zhou, Feng Jiang, Haizhou Li

slashdot_threads: Slashdot thread replies (2007)
A network of replies among users of the website Slashdot on the various discussion threads on the site. Nodes are user accounts and each directed edge represents a reply from user i to user j. Replies are timestamped.
This network has 51083 nodes and 140778 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hasan Najafi
https://arxiv.org/abs/2506.00924

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
This paper introduces a dual-layer framework for network operator-side quality of experience (QoE) assessment that integrates both objective network modeling and subjective user perception extracted from live-streaming platforms. On the objective side, we develop a machine learning model trained on mean opinion scores (MOS) computed via the ITU-T P.1203 reference implementation, allowing accurate prediction of user-perceived video quality using only network parameters such as packet loss, delay…

Read the Docs Before Rewriting: Equip Rewriter with Domain Knowledge via Continual Pre-training
Qi Wang, Yixuan Cao, Yifan Liu, Jiangtao Zhao, Ping Luo
https://arxiv.org/abs/2507.00477

Read the Docs Before Rewriting: Equip Rewriter with Domain Knowledge via Continual Pre-training
A Retrieval-Augmented Generation (RAG)-based question-answering (QA) system enhances a large language model's knowledge by retrieving relevant documents based on user queries. Discrepancies between user queries and document phrasings often necessitate query rewriting. However, in specialized domains, the rewriter model may struggle due to limited domain-specific knowledge. To resolve this, we propose the R\&R (Read the doc before Rewriting) rewriter, which involves continual pre-training on pro…

Exploring Privacy and Security as Drivers for Environmental Sustainability in Cloud-Based Office Solutions
Jason Kayembe, Iness Ben Guirat, Jan Tobias M\"uhlberg
https://arxiv.org/abs/2506.23866

Exploring Privacy and Security as Drivers for Environmental Sustainability in Cloud-Based Office Solutions
In this paper, we explore the intersection of privacy, security, and environmental sustainability in cloud-based office solutions, focusing on quantifying user- and network-side energy use and associated carbon emissions. We hypothesise that privacy-focused services are typically more energy-efficient than those funded through data collection and advertising. To evaluate this, we propose a framework that systematically measures environmental costs based on energy usage and network data traffic …

TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality
Dario Olianas, Diego Clerissi, Maurizio Leotta, Filippo Ricca
https://arxiv.org/abs/2505.24756

TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality
Web applications play a crucial role in our daily lives, making it essential to employ testing methods that ensure their quality. Typically, Web testing automation frameworks rely on locators to interact with the graphical user interface, acting as connection points to the elements on a Web page. Nevertheless, locators are widely recognized as a major vulnerability in Web testing, as they are highly sensitive to the frequent changes in Web page structures caused by rapid software evolution. The…

slashdot_threads: Slashdot thread replies (2007)
A network of replies among users of the website Slashdot on the various discussion threads on the site. Nodes are user accounts and each directed edge represents a reply from user i to user j. Replies are timestamped.
This network has 51083 nodes and 140778 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Exploring AR Label Placements in Visually Cluttered Scenarios
Ji Hwan Park, Braden Roper, Amirhossein Arezoumand, Tien Tran
https://arxiv.org/abs/2507.00198

Exploring AR Label Placements in Visually Cluttered Scenarios
We investigate methods for placing labels in AR environments that have visually cluttered scenes. As the number of items increases in a scene within the user' FOV, it is challenging to effectively place labels based on existing label placement guidelines. To address this issue, we implemented three label placement techniques for in-view objects for AR applications. We specifically target a scenario, where various items of different types are scattered within the user's field of view, and multip…

slashdot_threads: Slashdot thread replies (2007)
A network of replies among users of the website Slashdot on the various discussion threads on the site. Nodes are user accounts and each directed edge represents a reply from user i to user j. Replies are timestamped.
This network has 51083 nodes and 140778 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

TeamCMU at Touch\'e: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search
To Eun Kim, Jo\~ao Coelho, Gbemileke Onilude, Jai Singh
https://arxiv.org/abs/2507.00509

TeamCMU at Touché: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search
As conversational search engines increasingly adopt generation-based paradigms powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), the integration of advertisements into generated responses presents both commercial opportunities and challenges for user experience. Unlike traditional search, where advertisements are clearly delineated, generative systems blur the boundary between informational content and promotional material, raising concerns around transparency an…

Bridging UI Design and chatbot Interactions: Applying Form-Based Principles to Conversational Agents
Sanjay Krishna Anbalagan, Xinrui Nie, Umesh Mohan, Vijay Kumar Kanamarlapudi, Anughna Kommalapati, Xiaodan Zhao
https://arxiv.org/abs/2507.01862

Bridging UI Design and chatbot Interactions: Applying Form-Based Principles to Conversational Agents
Domain specific chatbot applications often involve multi step interactions, such as refining search filters, selecting multiple items, or performing comparisons. Traditional graphical user interfaces (GUIs) handle these workflows by providing explicit "Submit" (commit data) and "Reset" (discard data) actions, allowing back-end systems to track user intent unambiguously. In contrast, conversational agents rely on subtle language cues, which can lead to confusion and incomplete context management…

System Prompt Extraction Attacks and Defenses in Large Language Models
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
https://arxiv.org/abs/2505.23817 https…

System Prompt Extraction Attacks and Defenses in Large Language Models
The system prompt in Large Language Models (LLMs) plays a pivotal role in guiding model behavior and response generation. Often containing private configuration details, user roles, and operational instructions, the system prompt has become an emerging attack target. Recent studies have shown that LLM system prompts are highly susceptible to extraction attacks through meticulously designed queries, raising significant privacy and security concerns. Despite the growing threat, there is a lack of…

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Fang Liu, Rui He, Andrei Bombin, Ahmad B. Abdallah, Omar Eldaghar, Tommy R. Sheeley, Sam E. Ying, George Zaki
https://arxiv.org/abs/2506.01560

SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Multiplexed immunofluorescence microscopy captures detailed measurements of spatially resolved, multiple biomarkers simultaneously, revealing tissue composition and cellular interactions in situ among single cells. The growing scale and dimensional complexity of these datasets demand reproducible, comprehensive and user-friendly computational tools. To address this need, we developed SPAC (SPAtial single-Cell analysis), a Python-based package and a corresponding shiny application within an inte…

Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
Jaime Hieu Do, Trung-Hoang Le, Hady W. Lauw
https://arxiv.org/abs/2506.23170

Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
In the online digital realm, recommendation systems are ubiquitous and play a crucial role in enhancing user experience. These systems leverage user preferences to provide personalized recommendations, thereby helping users navigate through the paradox of choice. This work focuses on personalized sequential recommendation, where the system considers not only a user's immediate, evolving session context, but also their cumulative historical behavior to provide highly relevant and timely recommen…

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
Tamer Alkhouli, Katerina Margatina, James Gung, Raphael Shu, Claudia Zaghi, Monica Sunkara, Yi Zhang
https://arxiv.org/abs/2506.01859

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
We introduce Conversational Function-Calling Evaluation Through Turn-Level Interactions (CONFETTI), a conversational benchmark1 designed to evaluate the function-calling capabilities and response quality of large language models (LLMs). Current benchmarks lack comprehensive assessment of LLMs in complex conversational scenarios. CONFETTI addresses this gap through 109 human-simulated conversations, comprising 313 user turns and covering 86 APIs. These conversations explicitly target various con…

Context, Credibility, and Control: User Reflections on AI Assisted Misinformation Tools
Varun Sangwan, Heidi Makitalo
https://arxiv.org/abs/2506.22940 http…

Context, Credibility, and Control: User Reflections on AI Assisted Misinformation Tools
This paper investigates how collaborative AI systems can enhance user agency in identifying and evaluating misinformation on social media platforms. Traditional methods, such as personal judgment or basic fact-checking, often fall short when faced with emotionally charged or context-deficient content. To address this, we designed and evaluated an interactive interface that integrates collaborative AI features, including real-time explanations, source aggregation, and debate-style interaction. T…

This https://arxiv.org/abs/2505.23655 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Keyed Chaotic Tensor Transformations for Secure And Attributable Neural Inference
This work introduces a novel framework for secure and privacy-preserving neural network inference based on keyed chaotic dynamical transformations. The proposed method applies a deterministic, cryptographically seeded chaotic system to tensors, producing non-invertible, user-specific transformations that enable authenticated inference, tensor-level watermarking, and data attribution. This framework offers a scalable and lightweight alternative to conventional cryptographic techniques, and estab…

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 270 nodes and 323 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

Stealtooth: Breaking Bluetooth Security Abusing Silent Automatic Pairing
Keiichiro Kimura, Hiroki Kuzuno, Yoshiaki Shiraishi, Masakatu Morii
https://arxiv.org/abs/2507.00847

Stealtooth: Breaking Bluetooth Security Abusing Silent Automatic Pairing
Bluetooth is a pervasive wireless communication technology used by billions of devices for short-range connectivity. The security of Bluetooth relies on the pairing process, where devices establish shared long-term keys for secure communications. However, many commercial Bluetooth devices implement automatic pairing functions to improve user convenience, creating a previously unexplored attack surface. We present Stealtooth, a novel attack that abuses unknown vulnerabilities in the automatic …

This https://arxiv.org/abs/2308.15651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Ensuring User-side Fairness in Dynamic Recommender Systems
User-side group fairness is crucial for modern recommender systems, aiming to alleviate performance disparities among user groups defined by sensitive attributes like gender, race, or age. In the ever-evolving landscape of user-item interactions, continual adaptation to newly collected data is crucial for recommender systems to stay aligned with the latest user preferences. However, we observe that such continual adaptation often exacerbates performance disparities. This necessitates a thorough…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

A tangible user interface for assessing cognitive mapping ability
Ehud Sharlin, Benjamin Watson, Steve Sutphen, Lili Liu, Robert Lederer, John Frazer
https://arxiv.org/abs/2506.22597

A tangible user interface for assessing cognitive mapping ability
Wayfinding, the ability to recall the environment and navigate through it, is an essential cognitive skill relied upon almost every day in a person's life. A crucial component of wayfinding is the construction of cognitive maps, mental representations of the environments through which a person travels. Age, disease or injury can severely affect cognitive mapping, making assessment of this basic survival skill particularly important to clinicians and therapists. Cognitive mapping has also been t…

myspace_aminer: MySpace social graph
This network contains the social graph of MySpace, a social networking website which also has a strong music emphasis. A directed edge (i,j) means that user i follows user j.
This network has 854498 nodes and 6489736 edges.
Tags: Social, Online, Unweighted
https://netwo…

facebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 41424 nodes and 73900 edges.
Tags: Social, Communication, Unweighted, Multigraph,…

Visual Privacy Management with Generative AI for Blind and Low-Vision People
Tanusree Sharma, Yu-Yun Tseng, Lotus Zhang, Ayae Ide, Kelly Avery Mack, Leah Findlater, Danna Gurari, Yang Wang
https://arxiv.org/abs/2507.00286

Visual Privacy Management with Generative AI for Blind and Low-Vision People
Blind and low vision (BLV) individuals use Generative AI (GenAI) tools to interpret and manage visual content in their daily lives. While such tools can enhance the accessibility of visual content and so enable greater user independence, they also introduce complex challenges around visual privacy. In this paper, we investigate the current practices and future design preferences of blind and low vision individuals through an interview study with 21 participants. Our findings reveal a range of c…

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Mariia Ershova, Graziano Blasilli
https://arxiv.org/abs/2506.24104

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Digital twins (DT) are increasingly used in healthcare to model patients, processes, and physiological systems. While recent solutions leverage visualization, visual analytics, and user interaction, these systems rarely incorporate structured service design methodologies. Bridging service design with visual analytics and visualization can be valuable for the healthcare DT community. This paper aims to introduce the service design discipline to visualization researchers by framing this integrati…

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

google_plus: Google (2013)
Snapshot of connections among users of Google , collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.
This network has 211187 nodes and 1506896 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/google_

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

jester: Jester joke ratings (2001)
Two bipartite networks of users and jokes, extracted from the online joke recommender system Jester. A user connects to all jokes for which that user entered a rating. Edge weights give the rating score, scaled from -10 to 10. The two files differ by how many joke nodes are included, 100 or 150.
This network has 73521 nodes and 4136360 edges.
Tags: Economic, Preferences, Weighted

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

qa_user: User interactions on Q&A websites (2016)
Networks of interactions among users from four online Q&A sites: Stack Overflow, Math Overflow, Super User, and Ask Ubuntu. A directed edge (i,j) indicates a user i responded to user j's post. Edges are timestamped. For each Q&A site, four differently defined networks are provided, based on the definition of an edge: (i) a user answered a question, (ii) a user commented on a question, (iii) a user commented on an answer…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

movielens_100k: MovieLens 100K (1998)
Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.).
This network has 24129 nodes and 95580 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph, Timestamps