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social-network-analysis-papers's Introduction

Social Network Analysis Papers

License: MIT License: MIT

Table of Contents

  1. Social Network Analysis (Social Media Analysis)
  2. Graph / Network Theory
  3. Network Feature Extraction / Feature Engineering
  4. Information Propagation / Diffusion / Cascades
  5. Temporal, Dynamic Network / Evolving Network
  6. Network Inference / Link Prediction
  7. Influential / Influence Maximization (Estimation, Limitation)
  8. Community Structure / Strong & Weak Ties
  9. Graph Kernel
  10. Network Embedding / Graph Neural Network
  11. Miscellaneous
    1. Anomaly Detection / Fake News Detection
    2. Motifs and Graphlets
  • Conferences

Graph Mining / Web Search

KDD WWW WSDM PKDD PAKDD
ICDM ICDE CIKM CSCW
ASONAM ICWSM

Representation Learning on Networks

NeurIPS ICLR ICML AAAI CVPR

1. Social Network Analysis (Social Media Analysis)

  • Measuring User Influence in Twitter: The Million Follower Fallacy (ICWSM 2010) AAAI
  • What is Twitter, a Social Network or a News Media? (WWW 2010) ACM DL PDF
  • Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations (KDD 2005)
  • Doodle Around the World: Online Scheduling Behavior Reflects Cultural Differences in Time Perception and Group Decision-Making (CSCW 2013)
  • BotOrNot: A System to Evaluate Social Bots (WWW 2016)
  • Exploring Limits to Prediction in Complex Social Systems (WWW 2016)
  • SNA: Characteristics of OSNs after a disaster (Information Management 2017)
  • Ranking Users in SNs with Higher-Order Structures (AAAI 2018)
  • From Data Mining to Knowledge Discovery in Databases (AAAI 1996)
  • Me, My Echo Chamber, and I: Introspection on Social Media Polarization (WWW 2018)

2. Graph / Network Theory

  • Emergence of Scaling in Random Networks (SCIENCE 1999)
  • On Power-Law Relationships of the Internet Topology (SIGCOMM 1999)
  • Authoritative Sources in a Hyperlinked Environment (SODA 1998)
  • Higher-Order Web Link Analysis Using Multilinear Algebra (ICDM 2005)

3. Network Feature Extraction / Feature Engineering

Motifs and Graphlets
  • Network Motifs: Simple Building Blocks of Complex Networks (Science 2002) Science
  • Motifs in Temporal Networks (WSDM 2017) ACM DL
  • Biological network comparison using graphlet degree distribution (Bioinformatics 2007)
  • Graphlet-based Characterization of Directed Networks (Scientific Reports 2016)

4. Information Propagation / Diffusion / Cascades

Information Diffusion
  • On the Bursty Evolution of Blogspace (WWW 2003)
  • Information Diffusion Through Blogspace (WWW 2004)
  • Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks (AAAI 2010)
  • The Role of Social Networks in Information Diffusion (WWW 2012)
  • Structure and Dynamics of Information Pathways in Online Media (WSDM 2013)
  • Information Diffusion in Online Social Networks: A Survey (SIGMOD 2013)
  • Dynamic Propagation Rates: New Dimension to Viral Marketing in OSNs (ICDM 2017)
  • Realtime Analysis of Information Diffusion in Social Media (VLDB 2013)
Information Cascades
  • Can cascades be predicted? (WWW 2014)
  • Do Cascades Recur? (WWW 2016)
  • The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling (WWW 2017)
  • Joint Modeling of Text and Networks for Cascade Prediction (ICWSM 2018)
  • Do Diffusion Protocols Govern Cascade Growth? (ICWSM 2018)
  • Cascading Behavior in Large Blog Graphs (SDM 2007)

5. Temporal, Dynamic Network / Evolving Network

  • Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations (KDD 2005)
  • Structural Dynamics of Knowledge Networks (ICWSM 2013)

6. Network Inference / Link Prediction

  • Inferring Networks of Diffusion and Influence (KDD 2010) #NetInf
  • On the Convexity of Latent Social Network Inference (NIPS 2010)
  • Uncovering the Temporal Dynamics of Diffusion Networks (ICML 2011) #NetRate
  • Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures (WWW 2011) ACM DL
  • Weisfeiler-Lehman Neural Machine for Link Prediction (KDD 2017) VIDEO
  • Learning Social Network Embeddings for Predicting Information Diffusion (WSDM 2014)

7. Influential / Influence Maximization (Estimation, Limitation)

  • Maximizing the Spread of Influence through a Social Network (KDD 2003) ACM DL
  • Finding Influentials Based on the Temporal Order of Information Adoption in Twitter (WWW 2010)
  • Limiting the Spread of Misinformation in Social Networks (WWW 2011)
    • EIL: Eventual Influence Limitation
  • Influence Maximization in Continuous Time Diffusion Networks (ICML 2012)
  • Scalable Influence Estimation in Continuous-Time Diffusion Networks (NIPS 2013) #ConTinEst
  • Portfolio Optimization for Influence Spread (WWW 2017)
  • Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks (ICDM 2017)
    • TIP: Temporal Influence Blocking
  • Exact Computation of Influence Spread by Binary Decision Diagrams (WWW 2017)
  • Active Opinion Maximization in Social Networks (KDD 2018)
  • DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate (ICWSM 2018)

8. Community Structure / Strong & Weak Ties

  • Statistical Properties of Community Structure in Large Social and Information Networks (WWW 2008)
  • Structural Role Extraction & Mining in Large Graphs (KDD 2012) ACM DL

9. Graph Kernel

  • Weisfeiler-Lehman Graph Kernels (JMLR 2011)

10. Network Embedding / Graph Neural Network

Network Embedding
  • DeepWalk: Online Learning of Social Representations (KDD 2014)
  • LINE: Large-scale Information Network Embedding (WWW 2015)
  • A Survey on Network Embedding (AAAI 2018)
  • Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (TKDE 2016)
  • Dynamic Network Embedding by Modeling Triadic Closure Process (AAAI 2018)
    • DynamicTriad
Graph Neural Network / Graph Convolutional Network
  • The Graph Neural Network Model (Trans on NNs 2009) Xplore
    • GNN
  • Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)
    • GCN
  • Inductive representation learning on large graphs (NIPS 2017) ACM DL
    • GraphSAGE
  • Graph Attention Networks (ICLR 2018) arXiv WEB
  • Heterogeneous Graph Attention Network (WWW 2019) ACM DL
  • How Powerful are Graph Neural Networks? (ICLR 2019)
  • Graph Isomorphism Network (GIN)
  • Deep learning (nature 2015)

11. Miscellaneous

Anomaly Detection / Fake News Detection

This section will be separated into a different repository - TBA: Misinformation Detection Papers .

  • CatchSync: Catching Synchronized Behavior in Large Directed Graphs (KDD 2014)
  • Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks (WWW 2015)
  • Hoaxy: A Platform for Tracking Online Misinformation (WWW 2016) Software #Hoaxy
  • Fake News Detection on Social Media: A Data Mining Perspective (KDD 2017)
  • Fake News Detection on Social Media (KDD 2017)
  • Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems (ICDM 2017)
  • Tracing Fake News Footprints (WSDM 2018)
  • Leveraging the Crowd to Detect and Reduce the spread of Fake News and Misinformation (WSDM 2018)
  • The Hoaxy Misinformation and Fact-Checking Diffusion Network (ICWSM 2018) Software #Hoaxy
  • FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization (CMOT 2018) (Computational and Mathematical Organization Theory)
  • FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media (arXiv 2018)
Motifs and Graphlets
  • Network Motifs: Simple Building Blocks of Complex Networks (Science 2002) Science
  • Motifs in Temporal Networks (WSDM 2017) ACM DL

Contribution

  • Pull requests

References

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