Internet Use, Online Communication, and Ties in Americans’ Networks

Drawing on nationally representative survey data, this article examines the implications of Internet use and online communication for strong and weak ties in Americans’ social networks. In line with the existing literature, this research shows that frequent Internet use and online communication are...

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Vydáno v:Social science computer review Ročník 31; číslo 4; s. 404 - 423
Hlavní autor: Chen, Wenhong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Angeles, CA SAGE Publications 01.08.2013
Sage Publications
SAGE PUBLICATIONS, INC
Témata:
Chat rooms
Communication
Computer Mediated Communication
Internet
Literary criticism
Networks
On-line systems
Online
Social Networks
Sociology
Sociology of communication and mass media. Sociolinguistics
Sociology of knowledge and sociology of culture
Telecommunications
United States Of America
United States > US
online communication
the name generator
strong ties
social networks
weak ties
the position generator
Internet use
Social link
Statistical analysis
Social media
Social network
Social capital
Internet
Communication
ISSN:0894-4393, 1552-8286
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Shrnutí:Drawing on nationally representative survey data, this article examines the implications of Internet use and online communication for strong and weak ties in Americans’ social networks. In line with the existing literature, this research shows that frequent Internet use and online communication are associated with a larger core discussion network and a more extensive position-generated network. More importantly, this research provides a finer tuned analysis by disaggregating the overall network into strong and weak ties. First, Internet use—but not online communication—is positively related to weak-tie based network extensity in the position-generated networks. Second, Internet use and online communication are positively related to the number and the proportion of strong ties in Americans' core discussion networks. These results help reconcile some of the conflicting findings and interpretations based on different network measures in the exiting literature.
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ISSN:0894-4393
1552-8286
DOI:10.1177/0894439313480345