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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1,021 to 1,080 of 1,205

  1. Limits of modularity maximization in community detection

    Andrea Lancichinetti, Santo Fortunato

    physics.soc-phcs.SIarXiv:1107.1155v22011
  2. Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling

    Maksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov

    cs.IRcs.LGcs.SIarXiv:2608.27413v12026
  3. A Semi-supervised Graph Attentive Network for Financial Fraud Detection

    Daixin Wang, Jianbin Lin, Peng Cui +7

    cs.SIcs.CRcs.LGarXiv:2003.01171v12020
  4. Robust Detection of Dynamic Community Structure in Networks

    Danielle S. Bassett, Mason A. Porter, Nicholas F. Wymbs +3

    physics.data-ancond-mat.dis-nncs.SIarXiv:1206.4358v22012
  5. Instagram photos reveal predictive markers of depression

    Andrew G. Reece, Christopher M. Danforth

    cs.SIphysics.soc-pharXiv:1608.03282v22016
  6. Sustaining the Internet with Hyperbolic Mapping

    Marian Boguna, Fragkiskos Papadopoulos, Dmitri Krioukov

    cs.NIcond-mat.dis-nncond-mat.stat-mecharXiv:1009.0267v22010
  7. Auditing Radicalization Pathways on YouTube

    Manoel Horta Ribeiro, Raphael Ottoni, Robert West +2

    cs.CYcs.SIarXiv:1908.08313v42019
  8. Representation Learning for Attributed Multiplex Heterogeneous Network

    Yukuo Cen, Xu Zou, Jianwei Zhang +3

    cs.SIcs.LGarXiv:1905.01669v22019
  9. Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions

    Hung-Hsuan Chen

    cs.CLcs.CYcs.SIarXiv:2608.21821v12026
  10. Networks and the Epidemiology of Infectious Disease

    Leon Danon, Ashley P. Ford, Thomas House +5

    physics.soc-phcs.SIq-bio.PEarXiv:1011.5950v12010
  11. Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election

    Emilio Ferrara

    cs.SIcs.HCphysics.soc-pharXiv:1707.00086v12017
  12. Axioms for Centrality

    Paolo Boldi, Sebastiano Vigna

    cs.SIphysics.soc-pharXiv:1308.2140v22013
  13. The Slashdot Zoo: Mining a Social Network with Negative Edges

    Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage

    cs.SIphysics.soc-pharXiv:1710.11395v12017
  14. Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams

    Jacob Ratkiewicz, Michael Conover, Mark Meiss +4

    cs.SIcs.CYarXiv:1011.3768v12010
  15. A Computational Approach to Politeness with Application to Social Factors

    Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky +2

    cs.CLcs.SIphysics.soc-pharXiv:1306.6078v12013
  16. Biased Assimilation, Homophily and the Dynamics of Polarization

    Pranav Dandekar, Ashish Goel, David Lee

    cs.SIcs.GTphysics.soc-pharXiv:1209.5998v12012
  17. SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-listener Interaction Dynamic Process

    Jierui Xie, Boleslaw K. Szymanski, Xiaoming Liu

    cs.SIcs.DSphysics.soc-pharXiv:1109.5720v32011
  18. Tabular Foundation Models for Multi-View Information Cascade Popularity Prediction

    Wenting Zhu, Chenghua Gong, Sanchuan Guo +3

    cs.SIarXiv:2608.25048v12026
  19. Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

    Derek Lim, Felix Hohne, Xiuyu Li +4

    cs.LGcs.SIstat.MLarXiv:2110.14446v12021
  20. Measuring Emotional Contagion in Social Media

    Emilio Ferrara, Zeyao Yang

    cs.SIcs.LGphysics.soc-pharXiv:1506.06021v12015
  21. Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

    Mark Weber, Giacomo Domeniconi, Jie Chen +4

    cs.SIcs.CYcs.LGarXiv:1908.02591v12019
  22. Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives

    Jiarui Xia, Diego Gomez-Zara

    cs.CYcs.SIarXiv:2608.25337v12026
  23. Deep Neural Networks for Bot Detection

    Sneha Kudugunta, Emilio Ferrara

    cs.AIcs.SIarXiv:1802.04289v22018
  24. Graph Learning: A Survey

    Feng Xia, Ke Sun, Shuo Yu +4

    cs.LGcs.AIcs.SIarXiv:2105.00696v12021
  25. The extent and drivers of gender imbalance in neuroscience reference lists

    Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich +3

    cs.SIcs.DLarXiv:2001.01002v22020
  26. What are higher-order networks?

    Christian Bick, Elizabeth Gross, Heather A. Harrington +1

    cs.SImath.COmath.DSarXiv:2104.11329v32021
  27. Dynamics on higher-order networks: A review

    Soumen Majhi, Matjaz Perc, Dibakar Ghosh

    physics.soc-phcs.SInlin.AOarXiv:2203.06601v12022
  28. Epistemic Networks, Collective Misperception, and the Manipulation of Social Knowledge

    Mihnea C. Moldoveanu, Joel A. C. Baum

    cs.SIarXiv:2608.26075v12026
  29. Social Network Structure, Wealth, and Wealth Inequality Across Cultures

    Eleanor A. Power, Monique Borgerhoff Mulder, Samuel Bowles +57

    cs.SIecon.GNarXiv:2608.25488v12026
  30. Echo Chambers: Emotional Contagion and Group Polarization on Facebook

    Michela Del Vicario, Gianna Vivaldo, Alessandro Bessi +4

    physics.soc-phcs.SIarXiv:1607.01032v12016
  31. Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

    Kaidi Xu, Hongge Chen, Sijia Liu +4

    cs.LGcs.CRcs.SIarXiv:1906.04214v32019
  32. Tradition and Innovation in Scientists' Research Strategies

    Jacob G. Foster, Andrey Rzhetsky, James A. Evans

    physics.soc-phcs.DLcs.SIarXiv:1302.6906v12013
  33. Information Diffusion and External Influence in Networks

    Seth A. Myers, Chenguang Zhu, Jure Leskovec

    cs.SIphysics.soc-pharXiv:1206.1331v12012
  34. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

    Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil +1

    cs.SIcs.CYcs.HCarXiv:1702.01119v12017
  35. The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election

    Michael Bossetta

    cs.SIcs.CYcs.HCarXiv:1904.07333v12019
  36. Node Classification in Social Networks

    Smriti Bhagat, Graham Cormode, S. Muthukrishnan

    cs.SIphysics.soc-pharXiv:1101.3291v12011
  37. Validation of Dunbar's number in Twitter conversations

    Bruno Goncalves, Nicola Perra, Alessandro Vespignani

    physics.soc-phcond-mat.othercs.HCarXiv:1105.5170v22011
  38. Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

    Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou +1

    cs.LGcs.SIstat.MLarXiv:2006.09252v32020
  39. Evolutionary dynamics of higher-order interactions in social networks

    Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda +3

    physics.soc-phcs.SIq-bio.PEarXiv:2001.10313v52020
  40. Exact Controllability of Complex Networks

    Zhengzhong Yuan, Chen Zhao, Zengru Di +2

    physics.soc-phcond-mat.dis-nncs.SIarXiv:1310.5806v12013
  41. Fake News Detection on Social Media using Geometric Deep Learning

    Federico Monti, Fabrizio Frasca, Davide Eynard +2

    cs.SIcs.LGstat.MLarXiv:1902.06673v12019
  42. Science vs Conspiracy: collective narratives in the age of (mis)information

    Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu +3

    cs.SIcs.HCphysics.soc-pharXiv:1408.1667v12014
  43. A Neural Influence Diffusion Model for Social Recommendation

    Le Wu, Peijie Sun, Yanjie Fu +3

    cs.IRcs.SIarXiv:1904.10322v12019
  44. Position-aware Graph Neural Networks

    Jiaxuan You, Rex Ying, Jure Leskovec

    cs.LGcs.SIstat.MLarXiv:1906.04817v22019
  45. SemEval-2014 Task 9: Sentiment Analysis in Twitter

    Sara Rosenthal, Preslav Nakov, Alan Ritter +1

    cs.CLcs.IRcs.LGarXiv:1912.02990v12019
  46. Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs

    Hojin Kim, Sujin Yoon, Sungsu Lim +2

    cs.LGcs.SIarXiv:2608.22127v12026
  47. Saving Human Lives: What Complexity Science and Information Systems can Contribute

    Dirk Helbing, Dirk Brockmann, Thomas Chadefaux +8

    physics.soc-phcs.SInlin.AOarXiv:1402.7011v22014
  48. Robustness of a Network of Networks

    Jianxi Gao, Sergey V. Buldyrev, Shlomo Havlin +1

    physics.data-ancs.SIphysics.soc-pharXiv:1010.5829v12010
  49. Four Degrees of Separation

    Lars Backstrom, Paolo Boldi, Marco Rosa +2

    cs.SIphysics.soc-pharXiv:1111.4570v32011
  50. Social physics

    Marko Jusup, Petter Holme, Kiyoshi Kanazawa +12

    physics.soc-phcs.SInlin.AOarXiv:2110.01866v22021
  51. Predicting multicellular function through multi-layer tissue networks

    Marinka Zitnik, Jure Leskovec

    cs.LGcs.SIq-bio.MNarXiv:1707.04638v12017
  52. Generating Intervention Hypotheses using Explainable Explanations on Graphs: G2I, a Two-Stage Greedy Framework

    Mulin Tian, Ajitesh Srivastava

    cs.LGcs.SIarXiv:2608.23835v12026
  53. Link Prediction in Social Networks: the State-of-the-Art

    Peng Wang, Baowen Xu, Yurong Wu +1

    cs.SIphysics.soc-pharXiv:1411.5118v22014
  54. Thresholds for epidemic spreading in networks

    Claudio Castellano, Romualdo Pastor-Satorras

    cond-mat.stat-mechcs.SIphysics.soc-pharXiv:1010.1646v22010
  55. Airbnb in tourist cities: comparing spatial patterns of hotels and peer-to-peer accommodation

    Javier Gutierrez, Juan Carlos Garcia-Palomares, Gustavo Romanillos +1

    cs.SIarXiv:1606.07138v32016
  56. Uncovering the Temporal Dynamics of Diffusion Networks

    Manuel Gomez Rodriguez, David Balduzzi, Bernhard Schölkopf

    cs.SIcs.DScs.IRarXiv:1105.0697v12011
  57. Small But Slow World: How Network Topology and Burstiness Slow Down Spreading

    M. Karsai, M. Kivelä, R. K. Pan +4

    physics.soc-phcs.SInlin.AOarXiv:1006.2125v32010
  58. AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

    Xiao Wang, Meiqi Zhu, Deyu Bo +3

    cs.LGcs.SIeess.SParXiv:2007.02265v22020
  59. Popularity versus Similarity in Growing Networks

    Fragkiskos Papadopoulos, Maksim Kitsak, M. Angeles Serrano +2

    physics.soc-phcond-mat.stat-mechcs.NIarXiv:1106.0286v32011
  60. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

    Junliang Yu, Hongzhi Yin, Jundong Li +3

    cs.IRcs.SIarXiv:2101.06448v42021