See also Causality and Contagion.

It has been well-known that "similarity breeds connection"^1, and the phenomenon is called 'homophily'. One of the biggest issues is "can we distinguish influence from homophily with observational data?" James H. Fowler and Nicholas A. Christakis published a series of paper on the spreading of obesity, smoking, etc through a social network. There has been a long debate on these papers.

Articles #

• http://cscs.umich.edu/~crshalizi/notebooks/homophily-vs-influence.html
• Is obesity contagious? A Review of the Debate over the "Network Effects" of Obesity by Conrad Lee
• Social contagion? Maybe not… by Michał Bojanowski

References #

• Quantifying causal influences

• Feedback effects between similarity and social influence in online communities

  • http://videolectures.net/kdd08_crandall_fessioc/

• Everyone's an influencer: quantifying influence on twitter

• Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter
• TwitterRank: finding topic-sensitive influential twitterers
• Measuring user influence in Twitter: The million follower fallacy

Latent homophily #

• Homophily and Contagion Are Generically Confounded in Observational Social Network Studies
  • Controlling for Latent Homophily in Social Networks through Inferring Latent Locations

Incoming Links #

Related Articles (Article 0) #

• Causality
• Contagion
• Homophily
• Network science
• Sentiment analysis
• Social influence
• Social network

Suggested Pages #

• 0.499 Pathogen transmission
• 0.198 Influence
• 0.131 Cecilia Mascolo
• 0.091 Archetype
• 0.018 CausalImpact
• 0.011 Peter Sheridan Dodds
• 0.010 Epidemiology
• 0.009 scispaCy
• 0.005 Social contagion
• 0.003 Network datasets
• More suggestions...