Delayed information cascades in Flickr: Measurement, analysis, and modeling

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Online social networks exhibit small-world network characteristics, implying that information can spread in the network quickly and widely. This ability to spread information rapidly has led to high expectations for word-of-mouth and viral campaigns in online social networks. However, a recent study of the Flickr social network has shown that popular photos do not spread as quickly as one might expect, but show a steady linear growth of popularity over several years. In this paper, we investigate possible reasons for this delay in word-of-mouth propagation by studying the behavior of Flickr users. We identify two factors of a social network that can alter how information spreads: the burstiness of user login times and content aging. We study the impact of these factors using an epidemiological model that was adapted to allow us to investigate the speed of propagation in word-of-mouth propagation. Our simulation shows that the two factors can explain the patterns observed on the real data and help us to understand how these factors affect a small-world network's ability to spread information quickly and widely. (C) 2011 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2012-02
Language
English
Article Type
Article
Keywords

SOCIAL NETWORKS; HUMAN DYNAMICS; INTERNET

Citation

COMPUTER NETWORKS, v.56, no.3, pp.1066 - 1076

ISSN
1389-1286
DOI
10.1016/j.comnet.2011.10.020
URI
http://hdl.handle.net/10203/101530
Appears in Collection
CS-Journal Papers(저널논문)
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