Social and Information Networks

Papers filed under cs.SI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,141 to 1,200 of 1,204

Finding overlapping communities in networks by label propagation
Steve Gregory
physics.soc-phcs.SIarXiv:0910.5516v32009
The Anatomy of the Facebook Social Graph
Johan Ugander, Brian Karrer, Lars Backstrom +1
cs.SIphysics.soc-pharXiv:1111.4503v12011
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You, Rex Ying, Xiang Ren +2
cs.LGcs.AIcs.SIarXiv:1802.08773v32018
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves +1
cs.CLcs.SIarXiv:2010.12421v22020
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
Fred Morstatter, Jürgen Pfeffer, Huan Liu +1
cs.SIphysics.soc-pharXiv:1306.5204v12013
Information, Community, and Action: How Nonprofit Organizations Use Social Media
Kristen Lovejoy, Gregory D. Saxton
cs.CYcs.SIarXiv:1204.3230v12012
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies
Cosma Rohilla Shalizi, Andrew C. Thomas
stat.APcs.SIphysics.data-anarXiv:1004.4704v32010
CSI: A Hybrid Deep Model for Fake News Detection
Natali Ruchansky, Sungyong Seo, Yan Liu
cs.LGcs.SIarXiv:1703.06959v42017
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
cs.SIcs.CYcs.LGarXiv:1908.01207v12019
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
George Ling, Shanshan Zhong, Richard Huang
cs.SEcs.SIarXiv:2602.08004v12026
AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks
Prince Zizhuang Wang, Shuli Jiang
cs.AIcs.SIarXiv:2604.01487v22026
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Onur Varol, Emilio Ferrara, Clayton A. Davis +2
cs.SIarXiv:1703.03107v22017
Peer-Voted LLM-Agent Stress Tests Find Feed-Induced Lexical Convergence but No Reliable Matched-Exposure Advantage for Distributed Sources
Rana Muhammad Usman, Dominic Williamson
physics.soc-phcs.AIcs.MAarXiv:2608.20438v12026
The Pushshift Reddit Dataset
Jason Baumgartner, Savvas Zannettou, Brian Keegan +2
cs.SIcs.CYarXiv:2001.08435v12020
Multi-scale Attributed Node Embedding
Benedek Rozemberczki, Carl Allen, Rik Sarkar
cs.LGcs.NIcs.SIarXiv:1909.13021v32019
Supervised Random Walks: Predicting and Recommending Links in Social Networks
L. Backstrom, J. Leskovec
cs.SIcs.AIcs.DSarXiv:1011.4071v12010
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5
cs.LGcs.SIstat.MLarXiv:2006.09963v32020
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor +5
cs.LGcs.SIstat.MLarXiv:1905.00067v32019
Inferring Networks of Diffusion and Influence
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause
cs.DScs.SIphysics.soc-pharXiv:1006.0234v32010
A Survey on Network Embedding
Peng Cui, Xiao Wang, Jian Pei +1
cs.SIarXiv:1711.08752v12017
Vital nodes identification in complex networks
Linyuan Lü, Duanbing Chen, Xiao-Long Ren +3
physics.soc-phcs.SIarXiv:1607.01134v12016
Constructing bibliometric networks: A comparison between full and fractional counting
Antonio Perianes-Rodriguez, Ludo Waltman, Nees Jan van Eck
cs.DLcs.SIarXiv:1607.02452v42016
Social Contagion Theory: Examining Dynamic Social Networks and Human Behavior
Nicholas A. Christakis, James H. Fowler
cs.SIphysics.soc-pharXiv:1109.5235v22011
Overlapping Community Detection in Networks: the State of the Art and Comparative Study
Jierui Xie, Stephen Kelley, Boleslaw K. Szymanski
cs.SIcs.DSphysics.soc-pharXiv:1110.5813v42011
FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media
Kai Shu, Deepak Mahudeswaran, Suhang Wang +2
cs.SIarXiv:1809.01286v32018
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo
cs.SIcs.LGstat.MLarXiv:1704.03165v32017
Graph Transformer Networks
Seongjun Yun, Minbyul Jeong, Raehyun Kim +2
cs.LGcs.SIstat.MLarXiv:1911.06455v22019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen, Yankai Lin, Wei Li +3
cs.LGcs.SIstat.MLarXiv:1909.03211v22019
Statistical physics of human cooperation
Matjaz Perc, Jillian J. Jordan, David G. Rand +3
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1705.07161v12017
Discrete Signal Processing on Graphs
Aliaksei Sandryhaila, Jose M. F. Moura
cs.SIphysics.soc-pharXiv:1210.4752v22012
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen +6
cs.LGcs.SIstat.MLarXiv:1902.10191v32019
OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks
Geoff Boeing
cs.SIphysics.soc-pharXiv:1611.01890v52016
Graph-based Anomaly Detection and Description: A Survey
Leman Akoglu, Hanghang Tong, Danai Koutra
cs.SIcs.CRarXiv:1404.4679v22014
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
physics.soc-phcond-mat.dis-nncs.SIarXiv:2006.01764v12020
Heterogeneous Graph Transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang +1
cs.LGcs.SIstat.MLarXiv:2003.01332v12020
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski +1
cs.LGcs.SIstat.MLarXiv:1811.05868v22018
The COVID-19 Social Media Infodemic
Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi +6
cs.SInlin.AOphysics.soc-pharXiv:2003.05004v12020
Community detection in networks: A user guide
Santo Fortunato, Darko Hric
physics.soc-phcs.IRcs.SIarXiv:1608.00163v22016
The Rise of Social Bots
Emilio Ferrara, Onur Varol, Clayton Davis +2
cs.SIcs.CYphysics.data-anarXiv:1407.5225v42014
Representation Learning on Graphs: Methods and Applications
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGarXiv:1709.05584v32017
Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions
Xinnong Zhang, Wanting Shan, Hanjia Lyu +2
cs.CLcs.MMcs.SIarXiv:2606.06443v22026
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying, Jiaxuan You, Christopher Morris +3
cs.LGcs.NEcs.SIarXiv:1806.08804v42018
Epidemic processes in complex networks
Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem +1
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1408.2701v22014
Link Prediction in Complex Networks: A Survey
Linyuan Lu, Tao Zhou
physics.soc-phcs.SIphysics.comp-pharXiv:1010.0725v12010
MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models
Ya Wen, Jixuan Cai, Yulun Zhou +1
cs.LGcs.SIarXiv:2608.17848v12026
ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection
Aleksandr Konovalov, Anna Uporova, Alexander Drobyshev +2
cs.SIcs.AIcs.LGarXiv:2608.16906v12026
Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents
Batu El, Jinhee Paeng, Fatih Dinc +7
cs.AIcs.MAcs.SIarXiv:2608.16578v12026
Deep Graph Infomax
Petar Veličković, William Fedus, William L. Hamilton +3
stat.MLcs.ITcs.LGarXiv:1809.10341v22018
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
cs.SIcs.AIarXiv:1708.01967v32017
Heterogeneous Graph Attention Network
Xiao Wang, Houye Ji, Chuan Shi +4
cs.SIarXiv:1903.07293v22019
Multilayer Networks
Mikko Kivelä, Alexandre Arenas, Marc Barthelemy +3
physics.soc-phcs.SIarXiv:1309.7233v42013
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang +2
cs.IRcs.LGcs.SIarXiv:1905.08108v22019
Catastrophic Cascade of Failures in Interdependent Networks
S. Havlin, N. A. M. Araujo, S. V. Buldyrev +4
physics.data-ancond-mat.stat-mechcs.SIarXiv:1012.0206v12010
Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method
Ye Fang, Chuan-Xian Ren
cs.SIcs.LGarXiv:2608.16923v12026
DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, Steven Skiena
cs.SIcs.LGarXiv:1403.6652v22014
node2vec: Scalable Feature Learning for Networks
Aditya Grover, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1607.00653v12016
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1706.02216v42017
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova +3
stat.MLcs.AIcs.LGarXiv:1710.10903v32017
Building Social World Models with Large Language Models
Haofei Yu, Yining Zhao, Guanyu Lin +1
cs.SIcs.CLarXiv:2606.11482v12026
Integrating Persuasion Theory into the Epidemiological Modelling of Health Misinformation Spread on Social Media
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
cs.SIcs.AIcs.CLarXiv:2608.15689v12026

Social and Information Networks

Finding overlapping communities in networks by label propagation

The Anatomy of the Facebook Social Graph

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

Information, Community, and Action: How Nonprofit Organizations Use Social Media

Homophily and Contagion Are Generically Confounded in Observational Social Network Studies

CSI: A Hybrid Deep Model for Fake News Detection

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks

Online Human-Bot Interactions: Detection, Estimation, and Characterization

Peer-Voted LLM-Agent Stress Tests Find Feed-Induced Lexical Convergence but No Reliable Matched-Exposure Advantage for Distributed Sources

The Pushshift Reddit Dataset

Multi-scale Attributed Node Embedding

Supervised Random Walks: Predicting and Recommending Links in Social Networks

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Inferring Networks of Diffusion and Influence

A Survey on Network Embedding

Vital nodes identification in complex networks

Constructing bibliometric networks: A comparison between full and fractional counting

Social Contagion Theory: Examining Dynamic Social Networks and Human Behavior

Overlapping Community Detection in Networks: the State of the Art and Comparative Study

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

struc2vec: Learning Node Representations from Structural Identity

Graph Transformer Networks

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Statistical physics of human cooperation

Discrete Signal Processing on Graphs

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

Graph-based Anomaly Detection and Description: A Survey

Networks beyond pairwise interactions: structure and dynamics

Heterogeneous Graph Transformer

Pitfalls of Graph Neural Network Evaluation

The COVID-19 Social Media Infodemic

Community detection in networks: A user guide

The Rise of Social Bots

Representation Learning on Graphs: Methods and Applications

Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions

Hierarchical Graph Representation Learning with Differentiable Pooling

Epidemic processes in complex networks

Link Prediction in Complex Networks: A Survey

MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models

ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection

Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents

Deep Graph Infomax

Fake News Detection on Social Media: A Data Mining Perspective

Heterogeneous Graph Attention Network

Multilayer Networks

Neural Graph Collaborative Filtering

Catastrophic Cascade of Failures in Interdependent Networks

Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method

DeepWalk: Online Learning of Social Representations

node2vec: Scalable Feature Learning for Networks

Inductive Representation Learning on Large Graphs

Graph Attention Networks

Building Social World Models with Large Language Models

Integrating Persuasion Theory into the Epidemiological Modelling of Health Misinformation Spread on Social Media