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 #

• 0.547 Pathogen transmission
• 0.241 Influence
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• 0.019 Cecilia Mascolo
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• 0.012 Natural language processing
• 0.011 Social contagion
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