Tootfinder

Sources: the US intelligence community persuaded the DOJ that allowing the HPE-Juniper merger was essential to US national security and competing with Huawei (Mike Allen/Axios)
https://www.axios.com/2025/07/30/merger-hpe-juniper-networks-national-security

U.S. intelligence intervened with DOJ to push HPE-Juniper merger
An official tells Axios that blocking the deal would have "hindered American companies and empowered" Chinese competitors.

Community detection robustness of graph neural networks
Jaidev Goel, Pablo Moriano, Ramakrishnan Kannan, Yulia R. Gel
https://arxiv.org/abs/2509.24662 https://

Community detection robustness of graph neural networks
Graph neural networks (GNNs) are increasingly widely used for community detection in attributed networks. They combine structural topology with node attributes through message passing and pooling. However, their robustness or lack of thereof with respect to different perturbations and targeted attacks in conjunction with community detection tasks is not well understood. To shed light into latent mechanisms behind GNN sensitivity on community detection tasks, we conduct a systematic computationa…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Improving Community Detection in Academic Networks by Handling Publication Bias
Md Asaduzzaman Noor, John Sheppard, Jason Clark
https://arxiv.org/abs/2507.20449 https://

Improving Community Detection in Academic Networks by Handling Publication Bias
Finding potential research collaborators is a challenging task, especially in today's fast-growing and interdisciplinary research landscape. While traditional methods often rely on observable relationships such as co-authorships and citations to construct the research network, in this work, we focus solely on publication content to build a topic-based research network using BERTopic with a fine-tuned SciBERT model that connects and recommends researchers across disciplines based on shared topic…

Leerzaam artikel van The Guardian over de Facebook netwerken waar extreem rechtse ideeën gedijen (en hoe sterk ze samengaan met ontkenning van door mensen veroorzaakte klimaatverandering) https://www.theguardian.…

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection
Dalila Khettaf, Djamel Djenouri, Zeinab Rezaeifar, Youcef Djenouri
https://arxiv.org/abs/2509.23411

Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection
This paper proposes a novel community detection method that integrates the Louvain algorithm with Graph Neural Networks (GNNs), enabling the discovery of communities without prior knowledge. Compared to most existing solutions, the proposed method does not require prior knowledge of the number of communities. It enhances the Louvain algorithm using node embeddings generated by a GNN to capture richer structural and feature information. Furthermore, it introduces a merging algorithm to refine th…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
Jiaqi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu, Victor C. M. Leung
https://arxiv.org/abs/2508.18803

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
The proliferation of Internet of things (IoT) devices in smart cities, transportation, healthcare, and industrial applications, coupled with the explosive growth of AI-driven services, has increased demands for efficient distributed computing architectures and networks, driving cloud-edge-terminal collaborative intelligence (CETCI) as a fundamental paradigm within the artificial intelligence of things (AIoT) community. With advancements in deep learning, large language models (LLMs), and edge c…

Joint estimation of asymmetric community numbers in directed networks
Huan Qing
https://arxiv.org/abs/2508.14816 https://arxiv.org/pdf/2508.14816

Joint estimation of asymmetric community numbers in directed networks
Community detection in directed networks is a central task in network analysis. Unlike undirected networks, directed networks encode inherently asymmetric relationships, giving rise to sender and receiver roles that may each follow distinct community organizations with possibly different numbers of communities. Estimating these two community counts simultaneously is therefore considerably more challenging than in the undirected setting, yet it is essential for faithful model specification and r…

Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories
Xiaoning Ren, Yuhang Ye, Xiongfei Wu, Yueming Wu, Yinxing Xue
https://arxiv.org/abs/2509.20010

Demystifying the Evolution of Neural Networks with BOM Analysis: Insights from a Large-Scale Study of 55,997 GitHub Repositories
Neural networks have become integral to many fields due to their exceptional performance. The open-source community has witnessed a rapid influx of neural network (NN) repositories with fast-paced iterations, making it crucial for practitioners to analyze their evolution to guide development and stay ahead of trends. While extensive research has explored traditional software evolution using Software Bill of Materials (SBOMs), these are ill-suited for NN software, which relies on pre-defined mod…

Efficient Size Constraint Community Search over Heterogeneous Information Networks
Xinjian Zhang, Lu Chen, Chengfei Liu, Rui Zhou, Bo Ning
https://arxiv.org/abs/2508.14356 https…

Efficient Size Constraint Community Search over Heterogeneous Information Networks
The goal of community search in heterogeneous information networks (HINs) is to identify a set of closely related target nodes that includes a query target node. In practice, a size constraint is often imposed due to limited resources, which has been overlooked by most existing HIN community search works. In this paper, we introduce the size-bounded community search problem to HIN data. Specifically, we propose a refined (k, P)-truss model to measure community cohesiveness, aiming to identify t…

Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
Jiahua Lu, Huaxiao Liu, Shuotong Bai, Junjie Xu, Renqiang Luo, Enyan Dai
https://arxiv.org/abs/2508.15499

Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links
Graph Neural Networks (GNNs) have achieved remarkable success across diverse applications. However, due to the biases in the graph structures, graph neural networks face significant challenges in fairness. Although the original user graph structure is generally biased, it is promising to guide these existing structures toward unbiased ones by introducing new links. The fairness guidance via new links could foster unbiased communities, thereby enhancing fairness in downstream applications. To ad…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- PyGenStability: Multiscale community detection with generalized Markov Stability
Arnaudon, Schindler, Peach, Gosztolai, Hodges, Schaub, Barahona

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

🌟 New SIGs Spotlight: SIG-AI 🌟
A new space for collaboration on Artificial Intelligence within the NREN community is here.
SIG-AI brings the Research & Education community together to share expertise, best practices, and explore practical use cases of AI in NREN context—from cybersecurity and High-Performance Computing (HPC) to network automation and next-generation networks.
📖 For more insights, read the full interview with Leonie Schäfer (@…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Gremban Expansion for Signed Networks: Algebraic and Combinatorial Foundations for Community-Faction Detection
Fernando Diaz-Diaz, Karel Devriendt, Renaud Lambiotte
https://arxiv.org/abs/2509.14193

Gremban Expansion for Signed Networks: Algebraic and Combinatorial Foundations for Community-Faction Detection
This article deals with the characterization and detection of community and faction structures in signed networks. We approach the study of these mesoscale structures through the lens of the Gremban expansion. This graph operation lifts a signed graph to a larger unsigned graph, and allows the extension of standard techniques from unsigned to signed graphs. We develop the combinatorial and algebraic properties of the Gremban expansion, with a focus on its inherent involutive symmetry. The main …

add_health: Adolescent health (ADD HEALTH) (1994)
A directed network of friendships obtained through a social survey of high school students in 1994. The ADD HEALTH data are constructed from the in-school questionnaire; 90,118 students representing 84 communities took this survey in 1994-95. Some communities had only one school; others had two. Where there are two schools in a community students from one school were allowed to name friends in the other, the "sister school".…

I'm frequently despondent when I see organizations remove or hide once public Internet operational status and trending data.
At one time, lots of networks used to publish a variety of status and traffic summaries. The non-profit Internet2 for example was exemplary in this regard. Cloudflare, a commercial organization, now provides far more public benefit data than they do.
A big loss earlier this year was the once public Equinix network status page -

Introducing Equinix Status | Equinix Community - 519
Starting today you can check the status of your network products on the new Equinix Status page.  - 519

Partitioning and Self-organization of Distributed Generation in Large Distribution Networks
Badr Al Faiya, Stephen McArthur, Ivana Kockar
https://arxiv.org/abs/2509.07918 https:…

Partitioning and Self-organization of Distributed Generation in Large Distribution Networks
Distribution networks will experience more installations of distributed generation (DG) that is unpredictable and stochastic in nature. Greater distributed control and intelligence will allow challenges such as voltage control to be handled effectively. The partitioning of power networks into smaller clusters provides a method to split the control problem into manageable sub-problems. This paper presents a community detection-based partitioning technique for distribution networks considering lo…

Imitation and Heterogeneity Shape the Resilience of Community Currency Networks
Camilla Ancona, Dora Ricci, Carmela Bernardo, Francesco Lo Iudice, Anton Proskurnikov, Francesco Vasca
https://arxiv.org/abs/2507.02678

Imitation and Heterogeneity Shape the Resilience of Community Currency Networks
Community currency networks are made up of individuals and or companies that share some physical or social characteristics and engage in economic transactions using a virtual currency. This paper investigates the structural and dynamic properties of such mutual credit systems through a case study of Sardex, a community currency initiated and mainly operating in Sardinia, Italy. The transaction network is modeled as a directed weighted graph and analyzed through a graph theoretic framework focus…

Near-Term Quantum-Computing-Inspired Sampling for Community Detection in Low-Modularity Graphs
Joseph Geraci, Luca Pani
https://arxiv.org/abs/2509.03864 https://

Near-Term Quantum-Computing-Inspired Sampling for Community Detection in Low-Modularity Graphs
Low modularity networks (Q < 0.2) challenge classical community detection algorithms, which get trapped in local optima. We introduce quantum inspired community detection algorithms leveraging non classical sampling techniques to escape modularity optimization plateaus. Using distributions inspired by quantum phenomena including Porter Thomas distributions, Haar random states, and hyperuniform point processes, our approach generates diverse high quality partitions that improve modularity on dif…

CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected Production
Stefan Lenz, David Schachtschneider, Simon Jonas, Liam Tirpitz, Sandra Geisler, Martin Henze
https://arxiv.org/abs/2508.14526

CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected Production
While the digitization of industrial factories provides tremendous improvements for the production of goods, it also renders such systems vulnerable to serious cyber-attacks. To research, test, and validate security measures protecting industrial networks against such cyber-attacks, the security community relies on testbeds to simulate industrial systems, as utilizing live systems endangers costly components or even human life. However, existing testbeds focus on individual parts of typically c…

Fast and Optimal Incremental Parametric Procedure for the Densest Subgraph Problem: An Experimental Study
Dorit S. Hochbaum, Ayleen Irribarra-Cort\'es, Olivier Goldschmidt, Roberto As\'in-Ach\'a
https://arxiv.org/abs/2509.14993

Fast and Optimal Incremental Parametric Procedure for the Densest Subgraph Problem: An Experimental Study
The Densest Subgraph Problem (DSP) is widely used to identify community structures and patterns in networks such as bioinformatics and social networks. While solvable in polynomial time, traditional exact algorithms face computational and scalability limitations, leading to the adoption of faster, but non-optimal, heuristic methods. This work presents the first experimental study of the recently devised Incremental Parametric Cut (IPC) algorithm, which is an exact method for DSP and other "mono…

Contrastive Network Representation Learning
Zihan Dong, Xin Zhou, Ryumei Nakada, Lexin Li, Linjun Zhang
https://arxiv.org/abs/2509.11316 https://arxiv.org/…

Contrastive Network Representation Learning
Network representation learning seeks to embed networks into a low-dimensional space while preserving the structural and semantic properties, thereby facilitating downstream tasks such as classification, trait prediction, edge identification, and community detection. Motivated by challenges in brain connectivity data analysis that is characterized by subject-specific, high-dimensional, and sparse networks that lack node or edge covariates, we propose a novel contrastive learning-based statistic…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests
Abdulkader Hajjouz, Elena Avksentieva
https://arxiv.org/abs/2509.10925

Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests
We develop a consolidated theory for the detectability of network-borne attacks under two canonical observation models: (i) a static graph drawn from an Erdos-Renyi background with a planted anomalous community, and (ii) a temporal interaction network modeled by multivariate point processes (Poisson or Hawkes). Our main contribution is to match, up to universal constants, information-theoretic lower and upper bounds that govern when reliable testing is possible. In the static case, the core qua…

Beyond the Silence: How Men Navigate Infertility Through Digital Communities and Data Sharing
Tawfiq Ammari, Zarah Khondoker, Yihan Wang, Nikki Roda
https://arxiv.org/abs/2509.10003

Beyond the Silence: How Men Navigate Infertility Through Digital Communities and Data Sharing
Men experiencing infertility face unique challenges navigating Traditional Masculinity Ideologies that discourage emotional expression and help-seeking. This study examines how Reddit's r/maleinfertility community helps overcome these barriers through digital support networks. Using topic modeling (115 topics), network analysis (11 micro-communities), and time-lagged regression on 11,095 posts and 79,503 comments from 8,644 users, we found the community functions as a hybrid space: informal dia…

Universal self-similarity of hierarchical communities formed through a general self-organizing principle
Shruti Tandon (equal), Nidhi Dilip Sonwane (equal), Tobias Braun, Norbert Marwan, Juergen Kurths, R. I. Sujith
https://arxiv.org/abs/2507.11159

Universal self-similarity of hierarchical communities formed through a general self-organizing principle
Emergence of self-similarity in hierarchical community structures is ubiquitous in complex systems. Yet, there is a dearth of universal quantification and general principles describing the formation of such structures. Here, we discover universality in scaling laws describing self-similar hierarchical community structure in multiple real-world networks including biological, infrastructural, and social networks. We replicate these scaling relations using a phenomenological model, where nodes wit…

REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
Zhiwei Yu, Chengze Du, Heng Xu, Ying Zhou, Bo Liu, Jialong Li
https://arxiv.org/abs/2508.12857

REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
Community GPU platforms are emerging as a cost-effective and democratized alternative to centralized GPU clusters for AI workloads, aggregating idle consumer GPUs from globally distributed and heterogeneous environments. However, their extreme hardware/software diversity, volatile availability, and variable network conditions render traditional schedulers ineffective, leading to suboptimal task completion. In this work, we present REACH (Reinforcement Learning for Efficient Allocation in Commun…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
Pedro Fontanarrosa, Chris P Barnes
https://arxiv.org/abs/2509.02282

Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
Physics-Informed Neural Networks (PINNs) have become a popular way to infer interpretable interaction parameters from noisy microbial time series, but practitioners face many tunable design choices (loss weights, regularisers, scaling, training schedules) with little guidance, and uncertainty is rarely quantified. We present a two-part study using a DeepXDE PINN for a six-species generalised Lotka-Volterra (gLV) model with a known step input and fixed, species-specific step amplitudes, under sy…

Stochastic Online Feedback Optimization for Networks of Non-Compliant Agents
Caio Kalil Lauand, Andrey Bernstein
https://arxiv.org/abs/2508.21414 https://a…

Stochastic Online Feedback Optimization for Networks of Non-Compliant Agents
In several applications of online optimization to networked systems such as power grids and robotic networks, information about the system model and its disturbances is not generally available. Within the optimization community, increasing interest has been devoted to the framework of online feedback optimization (OFO), which aims to address these challenges by leveraging real-time input-output measurements to empower online optimization. We extend the OFO framework to a stochastic setting, all…

Approximate Bayesian Inference via Bitstring Representations
Aleksanteri Sladek, Martin Trapp, Arno Solin
https://arxiv.org/abs/2508.13598 https://arxiv.or…

Approximate Bayesian Inference via Bitstring Representations
The machine learning community has recently put effort into quantized or low-precision arithmetics to scale large models. This paper proposes performing probabilistic inference in the quantized, discrete parameter space created by these representations, effectively enabling us to learn a continuous distribution using discrete parameters. We consider both 2D densities and quantized neural networks, where we introduce a tractable learning approach using probabilistic circuits. This method offers …

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Non-Dissipative Graph Propagation for Non-Local Community Detection
William Leeney, Alessio Gravina, Davide Bacciu
https://arxiv.org/abs/2508.14097 https://

Non-Dissipative Graph Propagation for Non-Local Community Detection
Community detection in graphs aims to cluster nodes into meaningful groups, a task particularly challenging in heterophilic graphs, where nodes sharing similarities and membership to the same community are typically distantly connected. This is particularly evident when this task is tackled by graph neural networks, since they rely on an inherently local message passing scheme to learn the node representations that serve to cluster nodes into communities. In this work, we argue that the ability…

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
https://arxiv.org/abs/2507.10178

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
Transformers are the driving force behind today's Large Language Models (LLMs), serving as the foundation for their performance and versatility. Yet, their compute and memory costs grow with sequence length, posing scalability challenges for long-context inferencing. In response, the algorithm community is exploring alternative architectures, such as state space models (SSMs), linear attention, and recurrent neural networks (RNNs), which we refer to as post-transformers. This shift presents a k…

Network Community Detection and Novelty Scoring Reveal Underexplored Hub Genes in Rheumatoid Arthritis
Neda Amirirad, Hiroki Sayama
https://arxiv.org/abs/2509.00897 https://

Network Community Detection and Novelty Scoring Reveal Underexplored Hub Genes in Rheumatoid Arthritis
Understanding the modular structure and central elements of complex biological networks is critical for uncovering system-level mechanisms in disease. Here, we constructed weighted gene co-expression networks from bulk RNA-seq data of rheumatoid arthritis (RA) synovial tissue, using pairwise correlation and a percolation-guided thresholding strategy. Community detection with Louvain and Leiden algorithms revealed robust modules, and node-strength ranking identified the top 50 hub genes globally…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question
Stefanos Bakirtzis, Paul Almasan, Jos\'e Su\'arez-Varela, Gabriel O. Ferreira, Michail Kalntis, Andr\'e Felipe Zanella, Ian Wassell, Andra Lutu
https://arxiv.org/abs/2509.19337

Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question
Differentiable ray tracing has recently challenged the status quo in radio propagation modelling and digital twinning. Promising unprecedented speed and the ability to learn from real-world data, it offers a real alternative to conventional deep learning (DL) models. However, no experimental evaluation on production-grade networks has yet validated its assumed scalability or practical benefits. This leaves mobile network operators (MNOs) and the research community without clear guidance on its …

soc_net_comms: Networks with group metadata
Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.
This network has 334863 nodes and 925872 edges.
Tags: Online, Social, Collaboration, Informational, Relatedness, Unweighted, Metadat…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Community detection for directed networks revisited using bimodularity
Alexandre Cionca, Chun Hei Michael Chan, Dimitri Van De Ville

The new Compendium is here, and it’s more than just data. [Part 1]
Created by and for the #NREN community, this year’s edition brings the 2024 survey results to life through stories, context, and reflections from NRENs and expert contributors.
🔗 Read the report and explore the data:

Bi-SCORE for Weighted Bipartite Networks with Application in Knowledge Source Discovery
Zicheng Xie, Rui Pan, Yan Zhang
https://arxiv.org/abs/2508.21467 https://

Bi-SCORE for Weighted Bipartite Networks with Application in Knowledge Source Discovery
Community detection in citation networks offers a powerful approach to understanding knowledge flow and identifying core research areas within academic disciplines. This study focuses on knowledge source discovery in statistics by analyzing a weighted bipartite journal citation network constructed from 16,119 articles published in eight core journals from 2001 to 2023. To capture the inherent asymmetry of citation behavior, we explicitly preserve the bipartite structure of the network, distingu…

Designing for Community Care: Reimagining Support for Equity & Well-being in Academia
Beatriz Severes, Ana O. Henriques, Rory Clark, Paulo Bala, Anna Carter, Rua Mae Williams, Geraldine Fitzpatrick
https://arxiv.org/abs/2507.01690

Designing for Community Care: Reimagining Support for Equity & Well-being in Academia
Academic well-being is deeply influenced by peer-support networks, yet they remain informal, inequitable, and unsustainable, often relying on personal connections and social capital rather than structured, inclusive systems. Additionally, institutional well-being responses frequently focus on student populations, neglecting the emotional labour of faculty and staff, reinforcing an exclusionary academic culture. Drawing on HCI methodologies, participatory design, and care ethics, this workshop w…

Economy and Geography Shape the Collective Attention of Cities
Ke-ke Shang, Jiangli Zhu, Junfan Yi, Liwen Zhang, Junjie Yang, Ge Guo, Zixuan Jin, Michael Small
https://arxiv.org/abs/2508.08907

Economy and Geography Shape the Collective Attention of Cities
Complex networks are commonly used to explore human behavior. However, previous studies largely overlooked the geographical and economic factors embedded in collective attention. To address this, we construct attention networks from time-series data for the United States and China, each a key economic power in the West and the East, respectively. We reveal a strong macroscale correlation between urban attention and Gross Domestic Product (GDP). At the mesoscale, community detection of attention…

Crosslisted article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Governing Together: Toward Infrastructure for Community-Run Social Media
Hwang, Rollins, Nunes, Liu, Wong, Shaw, Monroy-Hern\'andez

Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni Chatzi
https://arxiv.org/abs/2508.10318

Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement
Post-earthquake recovery of electric power networks (EPNs) is critical to community resilience. Traditional recovery processes often rely on prolonged and imprecise manual inspections for damage diagnosis, leading to suboptimal repair prioritization and extended service disruptions. Seismic Structural Health Monitoring (SSHM) offers the potential to expedite recovery by enabling more accurate and timely damage assessment. However, SSHM deployment incurs costs, and its system-level resilience be…

Multilayer Artificial Benchmark for Community Detection (mABCD)
{\L}ukasz Krai\'nski, Micha{\l} Czuba, Piotr Br\'odka, Pawe{\l} Pra{\l}at, Bogumi{\l} Kami\'nski, Fran\c{c}ois Th\'eberge
https://arxiv.org/abs/2507.10795

Multilayer Artificial Benchmark for Community Detection (mABCD)
The Artificial Benchmark for Community Detection (ABCD) model is a random graph model with community structure and power-law distribution for both degrees and community sizes. The model generates graphs similar to the well-known LFR model but it is faster, more interpretable, and can be investigated analytically. In this paper, we use the underlying ingredients of the ABCD model and introduce its variant for multilayer networks, mABCD.

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Goodness-of-fit test for multi-layer stochastic block models
Huan Qing
https://arxiv.org/abs/2508.04957 https://arxiv.org/pdf/2508.04957

Goodness-of-fit test for multi-layer stochastic block models
Community detection in multi-layer networks is a fundamental task in complex network analysis across various areas like social, biological, and computer sciences. However, most existing algorithms assume that the number of communities is known in advance, which is usually impractical for real-world multi-layer networks. To address this limitation, we develop a novel goodness-of-fit test for the popular multi-layer stochastic block model. The test statistic is derived from a normalized aggregati…

add_health: Adolescent health (ADD HEALTH) (1994)
A directed network of friendships obtained through a social survey of high school students in 1994. The ADD HEALTH data are constructed from the in-school questionnaire; 90,118 students representing 84 communities took this survey in 1994-95. Some communities had only one school; others had two. Where there are two schools in a community students from one school were allowed to name friends in the other, the "sister school".…

soc_net_comms: Networks with group metadata
Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.
This network has 334863 nodes and 925872 edges.
Tags: Online, Social, Collaboration, Informational, Relatedness, Unweighted, Metadat…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Crosslisted article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems
Travis Lloyd, Tung Nguyen, Karen Levy, Mor Naaman

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Energy-Aware 6G Network Design: A Survey
Rashmi Kamran, Mahesh Ganesh Bhat, Pranav Jha, Shana Moothedath, Manjesh Hanawal, Prasanna Chaporkar
https://arxiv.org/abs/2509.11289 ht…

Energy-Aware 6G Network Design: A Survey
6th Generation (6G) mobile networks are envisioned to support several new capabilities and data-centric applications for unprecedented number of users, potentially raising significant energy efficiency and sustainability concerns. This brings focus on sustainability as one of the key objectives in the their design. To move towards sustainable solution, research and standardization community is focusing on several key issues like energy information monitoring and exposure, use of renewable energ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

A Parallel Algorithm for Finding Robust Spanners in Large Social Networks
Arindam Khanda, Satyaki Roy, Prithwiraj Roy, Sajal K. Das
https://arxiv.org/abs/2508.01485 https://

A Parallel Algorithm for Finding Robust Spanners in Large Social Networks
Social networks, characterized by community structures, often rely on nodes called structural hole spanners to facilitate inter-community information dissemination. However, the dynamic nature of these networks, where spanner nodes may be removed, necessitates resilient methods to maintain inter-community communication. To this end, we introduce robust spanners (RS) as nodes uniquely equipped to bridge communities despite disruptions, such as node or edge removals. We propose a novel scoring te…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Community-Based Efficient Algorithms for User-Driven Competitive Influence Maximization in Social Networks
Rahul Kumar Gautam
https://arxiv.org/abs/2506.23179

Community-Based Efficient Algorithms for User-Driven Competitive Influence Maximization in Social Networks
Nowadays, people in the modern world communicate with their friends, relatives, and colleagues through the internet. Persons/nodes and communication/edges among them form a network. Social media networks are a type of network where people share their views with the community. There are several models that capture human behavior, such as a reaction to the information received from friends or relatives. The two fundamental models of information diffusion widely discussed in the social networks ar…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Characterizing Community Formation in Response to Extreme Weather Events through Human Mobility N...
Cheng-Chun Lee, Junwei Ma, Kai Yin, Siri Namburi, Xin Xiao, Ali Mostafavi

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Enhance Stability of Network by Edge Anchor
Hongbo Qiu, Renjie Sun, Chen chen, Xiaoyang Wang
https://arxiv.org/abs/2507.11090 https://

Enhance Stability of Network by Edge Anchor
With the rapid growth of online social networks, strengthening their stability has emerged as a key research focus. This study aims to identify influential relationships that significantly impact community stability. In this paper, we introduce and explore the anchor trussness reinforcement problem to reinforce the overall user engagement of networks by anchoring some edges. Specifically, for a given graph $G$ and a budget $b$, we aim to identify $b$ edges whose anchoring maximizes the trussnes…

add_health: Adolescent health (ADD HEALTH) (1994)
A directed network of friendships obtained through a social survey of high school students in 1994. The ADD HEALTH data are constructed from the in-school questionnaire; 90,118 students representing 84 communities took this survey in 1994-95. Some communities had only one school; others had two. Where there are two schools in a community students from one school were allowed to name friends in the other, the "sister school".…

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio
Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu
https://arxiv.org/abs/2507.13368

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio
Deep graph clustering (DGC), which aims to unsupervisedly separate the nodes in an attribute graph into different clusters, has seen substantial potential in various industrial scenarios like community detection and recommendation. However, the real-world attribute graphs, e.g., social networks interactions, are usually large-scale and attribute-missing. To solve these two problems, we propose a novel DGC method termed \underline{\textbf{C}}omplementary \underline{\textbf{M}}ulti-\underline{\te…

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

Addressing overlapping communities in multiple-source detection: An edge clustering approach for complex networks
Haomin Li, Daniel K. Sewell
https://arxiv.org/abs/2507.08265

Addressing overlapping communities in multiple-source detection: An edge clustering approach for complex networks
The source detection problem in network analysis involves identifying the origins of diffusion processes, such as disease outbreaks or misinformation propagation. Traditional methods often focus on single sources, whereas real-world scenarios frequently involve multiple sources, complicating detection efforts. This study addresses the multiple-source detection (MSD) problem by integrating edge clustering algorithms into the community-based label propagation framework, effectively handling mixed…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Top-r Influential Community Search in Bipartite Graphs
Yanxin Zhang, Zhengyu Hua, Long Yuan, Zi Chen

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

Using Stochastic Block Models for Community Detection: The issue of edge-connectivity
The-Anh Vu-Le, Minhyuk Park, Ian Chen, George Chacko, Tandy Warnow
https://arxiv.org/abs/2508.03843

Using Stochastic Block Models for Community Detection: The issue of edge-connectivity
A relevant, sometimes overlooked, quality criterion for communities in graphs is that they should be well-connected in addition to being edge-dense. Prior work has shown that leading community detection methods can produce poorly-connected communities, and some even produce internally disconnected communities. A recent study by Park et al. in Complex Networks and their Applications 2024 showed that this problem is evident in clusterings from three Stochastic Block Models (SBMs) in graph-tool, a…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- CS-Agent: LLM-based Community Search via Dual-agent Collaboration
Jiahao Hua, Long Yuan, Qingshuai Feng, Qiang Fan, Shan Huang

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Community as a Vague Operator: Epistemological Questions for a Critical Heuristics of Community D...
Juni Schindler, Matthew Fuller

add_health: Adolescent health (ADD HEALTH) (1994)
A directed network of friendships obtained through a social survey of high school students in 1994. The ADD HEALTH data are constructed from the in-school questionnaire; 90,118 students representing 84 communities took this survey in 1994-95. Some communities had only one school; others had two. Where there are two schools in a community students from one school were allowed to name friends in the other, the "sister school".…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Fea...
Kai Yin, Bo Li, Ali Mostafavi

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…

escorts: Brazilian prostitution network (2010)
A bipartite network of escort and individuals who buy sex from them in Brazil, extracted from a Brazilian online community for such ratings. Edges represent a purchase of sexual intercourse with an escort, and the edge weight gives the buyer's rating of the escort: -1 (bad), 0 (neutral), or 1 (good). Other edge attributes are available. Edges are timestamped.
This network has 16730 nodes and 50632 edges.
Tags: Social, Publ…