
2025-08-20 09:45:00
NodeShield: Runtime Enforcement of Security-Enhanced SBOMs for Node.js
Eric Cornelissen, Musard Balliu
https://arxiv.org/abs/2508.13750 https://arxiv.org/p…
NodeShield: Runtime Enforcement of Security-Enhanced SBOMs for Node.js
Eric Cornelissen, Musard Balliu
https://arxiv.org/abs/2508.13750 https://arxiv.org/p…
On the usage of $2$-node lines in $n$-correct and $GC_n$ sets
Hakop Hakopian, Gagik Vardanyan, Navasard Vardanyan
https://arxiv.org/abs/2508.13289 https://…
faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …
Contrastive Multi-View Graph Hashing
Yang Xu, Zuliang Yang, Kai Ming Ting
https://arxiv.org/abs/2508.12377 https://arxiv.org/pdf/2508.12377
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Haruka Ezoe, Hiroki Matsumoto, Ryohei Hisano
https://arxiv.org/abs/2508.12674
Optimizing Allreduce Operations for Heterogeneous Architectures with Multiple Processes per GPU
Michael Adams, Amanda Bienz
https://arxiv.org/abs/2508.13397 https://
Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Fast Geometric Embedding for Node Influence Maximization
Alexander Kolpakov, Igor Rivin
Simultaneous estimation of connectivity and dimensionality in samples of networks
Wenlong Jiang, Chris McKennan, Jes\'us Arroyo, Joshua Cape
https://arxiv.org/abs/2508.12483
Now out in #TMLR:
🍇 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks 🍇
There's lots of work on sampling subgraphs for GNNs, but relatively little on making this sampling process _adaptive_. That is, learning to select the data from the graph that is relevant for your task.
We introduce an RL-based and a GFLowNet-based sampler and show that the approach perf…
Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization
Zexin Fang, Bin Han, Wenwen Chen, Hans D. Schotten
https://arxiv.org/abs/2506.14311
A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
Michael Banf, Dominik Filipiak, Max Schattauer, Liliya Imasheva
https://arxiv.org/abs/2508.11390
Strain-induced Ettingshausen effect in spin-orbit coupled noncentrosymmetric metals
Gautham Varma K, Azaz Ahmad, Gargee Sharma
https://arxiv.org/abs/2508.13147 https://
Market Viability and Completeness for Multinomial Models
Nahuel I. Arca
https://arxiv.org/abs/2508.13966 https://arxiv.org/pdf/2508.13966
Load-Balanced Diffusion Monte Carlo Method with Lattice Regularization
Kousuke Nakano, Sandro Sorella, Michele Casula
https://arxiv.org/abs/2508.12033 https://
Latency-Optimal File Assignment in Geo-Distributed Storage with Preferential Demands
Srivathsa Acharya, P. Vijay Kumar, Viveck R. Cadambe
https://arxiv.org/abs/2507.12830
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation
Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras
https://arxiv.org/abs/2506.14551
Multipartite Mixed-Species Entanglement over a Quantum Network
D. Main, P. Drmota, E. M. Ainley, A. Agrawal, D. Webb, S. Saner, O. Bazavan, B. C. Nichol, R. Srinivas, D. P. Nadlinger, G. Araneda, D. M. Lucas
https://arxiv.org/abs/2506.14334
Attractor Stability of Boolean networks under noise
Byungjoon Min, Jeehye Choi, Reinhard Laubenbacher
https://arxiv.org/abs/2506.15581 https://
lkml_thread: Linux kernel mailing list
A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.
This network has 379554 nodes and 1565683 edges.
Tags: Social, Communication, Unweighted, Timestamps
Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Bulat Batuev, Arsenii Onuchin, Sergey Sukhov
So thankful to the *excellent* work that @… has done with Node.js!
Especially this: https://floss.social/@webhackfest/114699260646396693
Dynamic Layered Decoding Scheduling for LDPC Codes Aided by Check Node Error Probabilities
Chenyuan Jia, Dongxu Chang, Ruiyuan Wang, Guanghui Wang, Guiying Yan, Cunquan Qu
https://arxiv.org/abs/2506.13507
🥳 New Kitten Release
Housekeeping:
• Updated runtime version to Node version 22.18.0 (latest LTS).
• Removed `--experimental-global-customevent` in node launch command (as `CustomEvent` is no longer behing the CLI flag since Node v19.0.0)
• Renamed `--experimental-loader` flag to `--loader` as the experimental prefix is no longer required.
…
A novel approach for converting spatio-temporal series into complex networks
G. Cigdem Yalcin, M. Berk Onder
https://arxiv.org/abs/2506.14378 https://
Approximations for Fault-Tolerant Total and Partial Positive Influence Domination
Ioannis Lamprou, Ioannis Sigalas, Ioannis Vaxevanakis, Vassilis Zissimopoulos
https://arxiv.org/abs/2506.12828
This is the #Garbce stop on railway line 271 (Poznań — Wrocław), renovated a few years ago.
The platforms end a dozen metres from the railway crossing. However, there is no walkway from the platforms to the crossing; probably because it would need to cross a tiny stream. Instead, a 100 m long walkways have been added to the other end of the platforms, with a tunnel joining the platforms and access to a side road in the town. To reach the railway crossing, you have to walk 700 m.
Ironically, even in the general drought the tunnel manages to feature puddles of ground water. Also including the photo of a platform roofing with weird orange marks.
#rail
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
Realization and characterization of an all-bands-flat electronic lattice
Noah Lape, Simon Diubenkov, L. Q. English, P. G. Kevrekidis, Alexei Andreanov, Yeongjun Kim, Sergej Flach
https://arxiv.org/abs/2508.13571
CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
Soheil Mahdizadeh, Amir Mahdi Rasouli, Mohammad Pourashory, Sadra Galavani, Mohsen Ansari
https://arxiv.org/abs/2507.12445
New allocation rule based on graph structures and their application to economic phenomena
Taiki Yamada, Taisuke Matsubae, Tomoya Akamatsu
https://arxiv.org/abs/2507.11808
Scaling Up without Fading Out: Goal-Aware Sparse GNN for RL-based Generalized Planning
Sangwoo Jeon, Juchul Shin, Gyeong-Tae Kim, YeonJe Cho, Seongwoo Kim
https://arxiv.org/abs/2508.10747
Heat Kernel Goes Topological
Maximilian Krahn, Vikas Garg
https://arxiv.org/abs/2507.12380 https://arxiv.org/pdf/2507.12380
DAGs for the Masses
Michael Anoprenko, Andrei Tonkikh, Alexander Spiegelman, Petr Kuznetsov
https://arxiv.org/abs/2506.13998 https://…
Predicting the response of structurally altered and asymmetrical networks
Melvyn Tyloo
https://arxiv.org/abs/2506.14609 https://arxiv…
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
Identification of Authoritative Nodes and Dismantling of Illicit Networks Using a Novel Metric for Measuring Strength of a Graph
Kartikeya Kansal, Arunabha Sen
https://arxiv.org/abs/2507.12711
Choreographic Quick Changes: First-Class Location (Set) Polymorphism
Ashley Samuelson, Andrew K. Hirsch, Ethan Cecchetti
https://arxiv.org/abs/2506.10913 h…
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
Oto przystanek osobowy #Garbce na linii kolejowej 271 (Poznań — Wrocław), wyremontowana parę lat temu.
Jak widać, perony kończą się kilkanaście metrów przed przejazdem kolejowym. Jednak zdecydowano, by nie prowadzić chodnika do tego przejazdu — najpewniej ze względu na ten tyci strumyk. Zamiast tego, na drugim końcu peronu poprowadzono stumetrowy chodnik, który prowadzi do tunelu łączącego peron…
Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing
Abhinav Sood, Maria Teresa Llano, Jon McCormack
https://arxiv.org/abs/2507.08260
A Novel Thermal Network Model and Electro-Thermal Coupling Study for NSFETs and CFETs Considering Thermal Crosstalk
Tianci Miao, Qihang Zheng, Yangyang Hu, Xiaoyu Cheng, Jie Liang, Liang Chen, Aiying Guo, Jingjing Liu, Kailin Ren, Jianhua Zhang
https://arxiv.org/abs/2506.12264
Wer auf der #froscon hat einen #meshtastic Node dabei?
Developing and evaluating quilts for the depiction of large layered graphs
Juhee Bae, Benjamin Watson
https://arxiv.org/abs/2507.10883 https://
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Bulat Batuev, Arsenii Onuchin, Sergey Sukhov
https://arxiv.org/abs/2506.13615 http…
Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
Jason M. Merlo, Jeffrey A. Nanzer
https://arxiv.org/abs/2506.13014
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
On the error correction of iterative bounded distance decoding of generalized LDPC codes
David Burshtein
https://arxiv.org/abs/2507.12073 https://
Hybrid Fiber-Free-Space Entanglement Distribution Using Off-the-Shelf Quantum Devices
Gustavo C. Amaral, Nienke M. ten Haaf, Breno Perlingeiro, David L. Bakker, Mark G. M. Boekel, Tim E. van Duivenbode, Karthik Selvan, Nicolas Oidtmann, Rafael Ochsendorf, Rick N. M. Wasserman, Mael Flament, Felipe Giraldo, Shane Andrewski, Mehdi Namazi, Federica Facchin, Mario Casta\~neda, Fokko de Vries, Sayali Shevate, Shaurya Bhave, Marco Gorter, Nico Coesel, David Mytling, Mike Mabry, Carlo Page, A…
Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
Tairan Huang, Yili Wang
https://arxiv.org/abs/2507.11997 https://
Towards Energy-Efficient Distributed Agreement
Hugo Mirault, Peter Robinson
https://arxiv.org/abs/2506.12282 https://arxiv.org/pdf/25…
Voltage Stability of Inverter-Based Systems: Impact of Parameters and Irrelevance of Line Dynamics
Sushobhan Chatterjee, Sijia Geng
https://arxiv.org/abs/2506.13341
Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
Xiaojian Zhang, Junqing Wang, Kerui Chen, Peiyuan Zhao, Huiyuan Bai
https://arxiv.org/abs/2507.10627
Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
https://arxiv.org/abs/2506.13626
To buy or not to buy: deterministic rent-or-buy problems on node-weighted graphs
Sander Borst, Moritz Venzin
https://arxiv.org/abs/2507.08698 https://
Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Ashwani Koul, Gustaf Hendeby, Isaac Skog
https://arxiv.org/abs/2506.13330
Distinguishing features of longitudinal magnetoconductivity for a Rarita-Schwinger-Weyl node
Ipsita Mandal
https://arxiv.org/abs/2506.12380 https://…
Distributed Algorithms for Potential Problems
Alkida Balliu, Thomas Boudier, Francesco d'Amore, Dennis Olivetti, Gustav Schmid, Jukka Suomela
https://arxiv.org/abs/2507.12038 …
A review of perfect quantum state transfer, from one to two and three dimensional arrays of qubits
Marzieh Asoudeh, Vahid Karimipour
https://arxiv.org/abs/2507.11016
wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…
Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
Yueyue Xu, Yuewei Chen, Lin Wang, Zhaoyang Cheng, Xiaoming Hu
https://arxiv.org/abs/2507.11113
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang, Yuchen Song, Sheng'en Li, Dongmian Zou
https://arxiv.org/abs/2508.10785 https://
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…
NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
https://arxiv.org/abs/2508.10052
Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
Peter Robinson, Ming Ming Tan
https://arxiv.org/abs/2507.11257 http…
Versatile Wavelength-Division Multiplexed Quantum Key Distribution Network Operating Simultaneously in the O and C Bands
Davide Scalcon, Matteo Padovan, Paolo Villoresi, Giuseppe Vallone, Marco Avesani
https://arxiv.org/abs/2507.11175
bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted
Minimum-hop Constellation Design for Low Earth Orbit Satellite Networks
Chirag Rao, Eytan Modiano
https://arxiv.org/abs/2506.11995 https://
contiguous_usa: Contiguous states (USA)
A network of contiguous states in the USA, in which each state is a node and two nodes are connected if they share a land-based geographic border. The dataset includes the lower 48 states, and the District of Columbia.
This network has 49 nodes and 107 edges.
Tags: Transportation, Roads, Unweighted
FAFO: Over 1 million TPS on a single node running EVM while still Merkleizing every block
Ryan Zarick, Isaac Zhang, Daniel Wong, Thomas Kim, Bryan Pellegrino, Mignon Li, Kelvin Wong
https://arxiv.org/abs/2507.10757
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
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
The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet
Peng Wang, Suman Sourav, Binbin Chen, Hongyan Li, Feng Wang, Fan Zhang
https://arxiv.org/abs/2506.11745
digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…
bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted
word_assoc: Edinburgh word associations
A network of word associations showing the count of such associations as collected from subjects, from the Edinburgh Associative Thesaurus (EAT). Each node represents a word, and a directed edge (i, j) denotes that word i was used as a stimulus to which word j was given as a response. Multiple edges are allowed.
This network has 23132 nodes and 312342 edges.
Tags: Informational, Language, Unweighted, Multigraph
ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 1079 nodes and 46234 edges.
Tags: Social, Online, Unweighted, Metadata
Bi-Contextuality: A Novel Non-Classical Phenomenon in Bipartite Quantum Systems
Gabriel Ruffolo, Nigel Benjamin Lee Junsheng, Kim Mu Young, Dzmitry Matsukevich, Rafael Rabelo, Dagomir Kaszlikowski, Pawe{\l} Kurzy\'nski
https://arxiv.org/abs/2507.08461
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
faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …
football_tsevans: NCAA college football 2000 (corrected metadata)
A network of American football games between Division IA colleges during regular season Fall 2000. This version contains some corrections made by T. S. Evans, in particular:.
This network has 115 nodes and 613 edges.
Tags: Social, Sports, Unweighted
https://
football_tsevans: NCAA college football 2000 (corrected metadata)
A network of American football games between Division IA colleges during regular season Fall 2000. This version contains some corrections made by T. S. Evans, in particular:.
This network has 115 nodes and 613 edges.
Tags: Social, Sports, Unweighted
https://
faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …
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
digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…
swingers: Swingers and parties (2013)
A bipartite sexual affiliation network representing “swing unit” couples (one node per couple) and the parties they attended.
This network has 96 nodes and 232 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/swingers
digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…
foodweb_baywet: Florida cypress wetlands food web (1998)
Networks of carbon exchanges among species in the cypress wetlands of South Florida. One network covers the wet and the other the dry season. Each node represents a taxon (similar to a species), and a directed edge indicates that one taxon uses another as food.
This network has 128 nodes and 2106 edges.
Tags: Biological, Food web, Weighted
scotus_majority: SCOTUS majority opinions
Network of legal citations among majority opinions written by the Supreme Court of the United States (SCOTUS), from 1754-2002 (2008 version) and 1792-2006 (2007 version). In addition to the citation network, node metadata is included giving some description of each opinion.
This network has 25417 nodes and 216738 edges.
Tags: Informational, Legal, Unweighted, Metadata, Temporal
scotus_majority: SCOTUS majority opinions
Network of legal citations among majority opinions written by the Supreme Court of the United States (SCOTUS), from 1754-2002 (2008 version) and 1792-2006 (2007 version). In addition to the citation network, node metadata is included giving some description of each opinion.
This network has 34613 nodes and 202167 edges.
Tags: Informational, Legal, Unweighted, Metadata, Temporal
faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …
swingers: Swingers and parties (2013)
A bipartite sexual affiliation network representing “swing unit” couples (one node per couple) and the parties they attended.
This network has 96 nodes and 232 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/swingers
contiguous_usa: Contiguous states (USA)
A network of contiguous states in the USA, in which each state is a node and two nodes are connected if they share a land-based geographic border. The dataset includes the lower 48 states, and the District of Columbia.
This network has 49 nodes and 107 edges.
Tags: Transportation, Roads, Unweighted
bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted
word_assoc: Edinburgh word associations
A network of word associations showing the count of such associations as collected from subjects, from the Edinburgh Associative Thesaurus (EAT). Each node represents a word, and a directed edge (i, j) denotes that word i was used as a stimulus to which word j was given as a response. Multiple edges are allowed.
This network has 23132 nodes and 312342 edges.
Tags: Informational, Language, Unweighted, Multigraph
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
malaria_genes: Malaria var DBLa HVR networks
Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant. Metadata includes two types of node labels, both based on sequence st…
7th_graders: Vickers 7th Graders (1981)
A small multiplex network of friendships among 29 seventh grade students in Victoria, Australia. Students nominated classmates for three different activities (who do you get on with in the class, who are your best friends, and who would you prefer to work with). Edge direction for each of these three types of edges indicates if node i nominated node j, and the edge weight gives the frequency of this nomination. Students 1-12 are boys and 13-29 ar…