Evidence map›Paper›PMID 22711416›Full record

ReviewStatistics in medicine2013

Social contagion theory: examining dynamic social networks and human behavior.

Nicholas A Christakis, James H Fowler

Abstract readReview
In one paragraph

Review in Statistics in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 378 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
378citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

378 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  6. Gamification for Family Engagement in Lifestyle Interventions: A Systematic Review.Prevention science : the official journal of the Society for Prevention Research · 2021
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318 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Nicholas A ChristakisDepartment of Medicine, Harvard Medical School, Boston, MA 02115, U.S.A. christakis@hcp.med.harvard.edu
James H Fowler

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Here, we review the research we have conducted on social contagion. We describe the methods we have employed (and the assumptions they have entailed) to examine several datasets with complementary strengths and weaknesses, including the Framingham Heart Study, the National Longitudinal Study of Adolescent Health, and other observational and experimental datasets that we and others have collected. We describe the regularities that led us to propose that human social networks may exhibit a 'three degrees of influence' property, and we review statistical approaches we have used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness. We do not claim that this work is the final word, but we do believe that it provides some novel, informative, and stimulating evidence regarding social contagion in longitudinally followed networks. Along with other scholars, we are working to develop new methods for identifying causal effects using social network data, and we believe that this area is ripe for statistical development as current methods have known and often unavoidable limitations.

Indexed as

BehaviorModels, PsychologicalSocial SupportAdolescentBiostatisticsCluster AnalysisDatabases, FactualHumansLongitudinal StudiesModels, StatisticalRegression Analysis

Identifiers

PMID22711416
PMCPMC3830455

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.