Information Communities: The Network Structure of Communication

41 Pages Posted: 3 Feb 2011 Last revised: 17 Aug 2014

See all articles by Peter Pal Zubcsek

Peter Pal Zubcsek

Tel Aviv University - Coller School of Management

Imran Chowdhury

Pace University

Zsolt Katona

University of California, Berkeley - Haas School of Business

Date Written: August 18, 2012

Abstract

This study puts forward a variable clique overlap model for identifying information communities, or potentially overlapping subgroups of network actors among whom reinforced independent links ensure efficient communication. We posit that the intensity of communication between individuals in information communities is greater than in other areas of the network. Empirical tests show that the variable clique overlap model is more useful for identifying groups of individuals that have strong internal relationships in closed networks than those defined by more general models of network closure. These findings extend the scope of network closure effects proposed by other researchers working with communication networks using social network methods and approaches, a tradition which emphasizes ties between organizations, groups, individuals, and the external environment.

Keywords: communities, social networks, communication, information transmission, network closure

JEL Classification: D71, M12, M20, M30

Suggested Citation

Zubcsek, Peter Pal and Chowdhury, Imran and Katona, Zsolt, Information Communities: The Network Structure of Communication (August 18, 2012). Available at SSRN: https://ssrn.com/abstract=1753903 or http://dx.doi.org/10.2139/ssrn.1753903

Peter Pal Zubcsek (Contact Author)

Tel Aviv University - Coller School of Management ( email )

Tel Aviv
Israel

Imran Chowdhury

Pace University ( email )

One Pace Plaza
New York, NY 10038
United States

Zsolt Katona

University of California, Berkeley - Haas School of Business ( email )

545 Student Services Building, #1900
2220 Piedmont Avenue
Berkeley, CA 94720
United States

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