Document Detail

Inference for influence over multiple degrees of separation on a social network.
MedLine Citation:
PMID:  23341081     Owner:  NLM     Status:  MEDLINE    
States and behaviors of different individuals are expected to be correlated across a social network. Christakis and Fowler have proposed a 'three degrees of influence rule' to characterize the extent of such dependence. In this paper, we discuss three distinct interpretations of such a rule, one involving only associations (which is the interpretation for which Christakis and Fowler give evidence), one involving actual causation, generally referred to as contagion or social influence, and one involving direct effects. We discuss analytic procedures appropriate for assessing evidence for each possible interpretation and the increasingly difficult methodological challenges present in each interpretation.
Tyler J VanderWeele
Publication Detail:
Type:  Comment; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Statistics in medicine     Volume:  32     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-23     Completed Date:  2013-12-10     Revised Date:  2014-04-08    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  591-6; discussion 597-9     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
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MeSH Terms
Models, Psychological*
Social Support*
Grant Support
Comment On:
Stat Med. 2013 Feb 20;32(4):556-77   [PMID:  22711416 ]

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