Human communication dynamics in digital footsteps: A study of the agreement between self-reported ties and email networks

Stefan Wuchty, Brian Uzzi

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Digital communication data has created opportunities to advance the knowledge of human dynamics in many areas, including national security, behavioral health, and consumerism. While digital data uniquely captures the totality of a person's communication, past research consistently shows that a subset of contacts makes up a person's "social network" of unique resource providers. To address this gap, we analyzed the correspondence between self-reported social network data and email communication data with the objective of identifying the dynamics in e-communication that correlate with a person's perception of a significant network tie. First, we examined the predictive utility of three popular methods to derive social network data from email data based on volume and reciprocity of bilateral email exchanges. Second, we observed differences in the response dynamics along self-reported ties, allowing us to introduce and test a new method that incorporates time-resolved exchange data. Using a range of robustness checks for measurement and misreporting errors in self-report and email data, we find that the methods have similar predictive utility. Although e-communication has lowered communication costs with large numbers of persons, and potentially extended our number of, and reach to contacts, our case results suggest that underlying behavioral patterns indicative of friendship or professional contacts continue to operate in a classical fashion in email interactions.

Original languageEnglish (US)
Article numbere26972
JournalPLoS One
Volume6
Issue number11
DOIs
StatePublished - Nov 17 2011
Externally publishedYes

Fingerprint

e-mail
Electronic mail
communication (human)
Communication
social networks
Social Support
Security Measures
interpersonal relationships
consumer behavior
National security
Electronic data interchange
Self Report
Dynamic response
Data acquisition
methodology
Health
Costs and Cost Analysis
Research
Costs

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Human communication dynamics in digital footsteps : A study of the agreement between self-reported ties and email networks. / Wuchty, Stefan; Uzzi, Brian.

In: PLoS One, Vol. 6, No. 11, e26972, 17.11.2011.

Research output: Contribution to journalArticle

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