Literature DB >> 26504738

Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion".

Cosma Rohilla Shalizi1.   

Abstract

VanderWeele et al.'s paper is a useful contribution to the on-going scientific conversation about the detection of contagion from purely observational data. It is especially helpful as a corrective to some of the more extreme statements of Lyons (2011). Unfortunately, this paper, too, goes too far in some places, and so needs some correction itself.

Entities:  

Keywords:  causal inference; contagion; social influence; social networks

Year:  2012        PMID: 26504738      PMCID: PMC4617781          DOI: 10.1515/2151-7509.1053

Source DB:  PubMed          Journal:  Stat Politics Policy        ISSN: 2151-7509


  3 in total

1.  Sensitivity analysis for contagion effects in social networks.

Authors:  Tyler J VanderWeele
Journal:  Sociol Methods Res       Date:  2011-05

2.  Homophily and Contagion Are Generically Confounded in Observational Social Network Studies.

Authors:  Cosma Rohilla Shalizi; Andrew C Thomas
Journal:  Sociol Methods Res       Date:  2011-05

3.  The spread of obesity in a large social network over 32 years.

Authors:  Nicholas A Christakis; James H Fowler
Journal:  N Engl J Med       Date:  2007-07-25       Impact factor: 91.245

  3 in total

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