Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and...

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Bibliographische Detailangaben
Titel: Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and Tie Strength;
Beteiligte: Liang, Hai, Fu, King-wa
In: Communication Research, 46, 2019, 2, S. 250-272
veröffentlicht:
SAGE Publications
Medientyp: Artikel, E-Artikel

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Umfang: 250-272
ISSN: 0093-6502
1552-3810
DOI: 10.1177/0093650216682900
veröffentlicht in: Communication Research
Sprache: Englisch
Schlagwörter:
Kollektion: SAGE Publications (CrossRef)
Inhaltsangabe

<jats:p>It 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.</jats:p>