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Homophily and Contagion Are Generically Confounded in Observational Social Network Studies
被引:539
作者:
Shalizi, Cosma Rohilla
[1
]
Thomas, Andrew C.
[1
]
机构:
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词:
contagion;
social influence;
homophily;
causal inference;
network confounding;
neutral models;
SPREAD;
MODELS;
D O I:
10.1177/0049124111404820
中图分类号:
O1 [数学];
C [社会科学总论];
学科分类号:
03 ;
0303 ;
0701 ;
070101 ;
摘要:
The authors consider processes on social networks that can potentially involve three factors: homophily, or the formation of social ties due to matching individual traits; social contagion, also known as social influence; and the causal effect of an individual's covariates on his or her behavior or other measurable responses. The authors show that generically, all of these are confounded with each other. Distinguishing them from one another requires strong assumptions on the parametrization of the social process or on the adequacy of the covariates used (or both). In particular the authors demonstrate, with simple examples, that asymmetries in regression coefficients cannot identify causal effects and that very simple models of imitation (a form of social contagion) can produce substantial correlations between an individual's enduring traits and his or her choices, even when there is no intrinsic affinity between them. The authors also suggest some possible constructive responses to these results.
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页码:211 / 239
页数:29
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