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Information Propagation on the Web 2.0

Two Essays on the Propagation of User-Generated Content and How It Is Affected by Social Networks

by Mark Elsner (Author)
©2012 Thesis 131 Pages

Summary

The diffusion of the Internet has considerably changed the basic principles of information exchange into a structure that is now enabling user-driven information propagation across most markets that was not possible in the previous era of unidirectional mass communication. This study focuses on the submitters’ social networks to explain these new propagation processes. Large datasets from a social news site are used to show that it is the size, structure and activity of such networks that mainly influence whether or not certain content achieves a prominent level. Message and content-related factors seem of only marginal importance – at least until the respective content exceeds a threshold of public attention.

Details

Pages
131
Year
2012
ISBN (PDF)
9783653016635
ISBN (Hardcover)
9783631617472
DOI
10.3726/978-3-653-01663-5
Language
English
Publication date
2012 (July)
Keywords
Multivariate timing models Internet unidirectional mass communication
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2012. 131 pp., 32 tables, 8 graphs

Biographical notes

Mark Elsner (Author)

Mark Elsner, business studies (marketing and organisation) and media studies at Mainz and Madrid; executive consultant; research stay at the University of Colorado; PhD at the University of Mainz; PostDoc at the University of Cologne.

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Title: Information Propagation on the Web 2.0