Article ID Journal Published Year Pages File Type
351204 Computers in Human Behavior 2013 6 Pages PDF
Abstract

This study uses social capital theory and social network analysis to explore how relations in an online academic communication network impact the overall structure of that network. Social network analysis is a particularly advantageous methodological tool for linking changes in microlevel choices to macrolevel structural alterations. Results indicate the online communication network’s structure exists independent of changes in communication ties. Specifically degree centrality, betweenness centrality, and clique formation indicated communication ties are initiated and discontinued over a 7-month timeframe. However, the dynamic nature of the microlevel communication choices does not mirror the quasi-stable structure of the online network. Results provide avenues for future research.

• The online network’s overall structure is quasi-stable. • The quasi-stable structure exists independent of changes in communication ties. • Individuals benefit from social capital, and make choices to retain or improve it. • Individuals who represent “information hubs” are infrequent in an online network. • The online network is broken into many small groups that continually change.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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