Abstract
Along with the development of Internet and Web2.0, online social networks (OSNs) are becoming an important information propagation platform. Therefore, it is of great significance to study the information propagation rules in OSNs. An information propagation model named IP-OSN is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of information propagation. From the experimental results, we can see that along with the information propagation, the number of known nodes increases and reaches its maximum, then keep an unchanging status. Moreover, from the user behavior aspect, we find that different user behavior in OSNs causes different information propagation results, the more users who are willing to diffuse information, the more scope the information can propagate and the faster the information diffuses. Findings in this paper are meaningful for theory of information propagation and complex networks.
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Li, N., Xiaoting, H. (2012). Information Propagation in Online Social Networks Based on User Behavior. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_3
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DOI: https://doi.org/10.1007/978-3-642-34062-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34061-1
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