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Article: A natural experiment of social network formation and dynamics

TitleA natural experiment of social network formation and dynamics
Authors
KeywordsCausal inference
Social networks
Propensity score matching
Natural experiment
Natural disasters
Issue Date2015
Citation
Proceedings of the National Academy of Sciences of the United States of America, 2015, v. 112, n. 21, p. 6595-6600 How to Cite?
Abstract© 2015, National Academy of Sciences. All rights reserved. Social networks affect many aspects of life, including the spread of diseases, the diffusion of information, the workers' productivity, and consumers' behavior. Little is known, however, about how these networks form and change. Estimating causal effects and mechanisms that drive social network formation and dynamics is challenging because of the complexity of engineering social relations in a controlled environment, endogeneity between network structure and individual characteristics, and the lack of time-resolved data about individuals' behavior. We leverage data from a sample of 1.5 million college students on Facebook, who wrote more than 630 million messages and 590 million posts over 4 years, to design a long-term natural experiment of friendship formation and social dynamics in the aftermath of a natural disaster. The analysis shows that affected individuals are more likely to strengthen interactions, while maintaining the same number of friends as unaffected individuals. Our findings suggest that the formation of social relationships may serve as a coping mechanism to deal with high-stress situations and build resilience in communities.
Persistent Identifierhttp://hdl.handle.net/10722/276495
ISSN
2023 Impact Factor: 9.4
2023 SCImago Journal Rankings: 3.737
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPhan, Tuan Q.-
dc.contributor.authorAiroldi, Edoardo M.-
dc.date.accessioned2019-09-18T08:33:46Z-
dc.date.available2019-09-18T08:33:46Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the National Academy of Sciences of the United States of America, 2015, v. 112, n. 21, p. 6595-6600-
dc.identifier.issn0027-8424-
dc.identifier.urihttp://hdl.handle.net/10722/276495-
dc.description.abstract© 2015, National Academy of Sciences. All rights reserved. Social networks affect many aspects of life, including the spread of diseases, the diffusion of information, the workers' productivity, and consumers' behavior. Little is known, however, about how these networks form and change. Estimating causal effects and mechanisms that drive social network formation and dynamics is challenging because of the complexity of engineering social relations in a controlled environment, endogeneity between network structure and individual characteristics, and the lack of time-resolved data about individuals' behavior. We leverage data from a sample of 1.5 million college students on Facebook, who wrote more than 630 million messages and 590 million posts over 4 years, to design a long-term natural experiment of friendship formation and social dynamics in the aftermath of a natural disaster. The analysis shows that affected individuals are more likely to strengthen interactions, while maintaining the same number of friends as unaffected individuals. Our findings suggest that the formation of social relationships may serve as a coping mechanism to deal with high-stress situations and build resilience in communities.-
dc.languageeng-
dc.relation.ispartofProceedings of the National Academy of Sciences of the United States of America-
dc.subjectCausal inference-
dc.subjectSocial networks-
dc.subjectPropensity score matching-
dc.subjectNatural experiment-
dc.subjectNatural disasters-
dc.titleA natural experiment of social network formation and dynamics-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1073/pnas.1404770112-
dc.identifier.pmid25964337-
dc.identifier.scopuseid_2-s2.0-84930225728-
dc.identifier.volume112-
dc.identifier.issue21-
dc.identifier.spage6595-
dc.identifier.epage6600-
dc.identifier.eissn1091-6490-
dc.identifier.isiWOS:000355213200037-
dc.identifier.issnl0027-8424-

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