Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and Tie Strength
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AbstractIt remains controversial whether community structures in social networks are beneficial or not for information diffusion. This study examined the relationships among four core concepts in social network analysis-network redundancy, information redundancy, ego-alter similarity, and tie strength-and their impacts on information diffusion. By using more than 6,500 representative ego networks containing nearly 1 million following relationships from Twitter, the current study found that (1) network redundancy is positively associated with the probability of being retweeted even when competing variables are controlled for; (2) network redundancy is positively associated with information redundancy, which in turn decreases the probability of being retweeted; and (3) the inclusion of both ego-alter similarity and tie strength can attenuate the impact of network redundancy on the probability of being retweeted.
All Author(s) ListLIANG Hai, FU King-wa
Journal nameCommunication Research
Year2019
Month3
Volume Number46
Issue Number2
PublisherSAGE Publications
Pages250 - 272
ISSN0093-6502
eISSN1552-3810
LanguagesEnglish-United Kingdom
Keywordsinformation diffusion, network redundancy, information redundancy, social network, Twitter

Last updated on 2019-16-07 at 10:49