Abstract
The increasing amount of information flowing through commercial social networks offers clear advantages for companies who can take a valuable feedback from community actions. In particular, the identification of influential users in on-line social network can support companies in designing and targeting marketing campaigns, as influential gate-keepers and diffusers of information can ignite epidemics through word-of-mouth. In this paper, we model a time-dependent commercial social network as a time-varying weighted directed graph. Moreover, we propose an approach to determine opinion leaders and their contributions to a temporal business value, by taking into account behavioural and structural aspects of the commercial social network.
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Volpentesta, A.P., Felicetti, A.M. (2012). Identifying Opinion Leaders in Time-Dependent Commercial Social Networks. In: Camarinha-Matos, L.M., Xu, L., Afsarmanesh, H. (eds) Collaborative Networks in the Internet of Services. PRO-VE 2012. IFIP Advances in Information and Communication Technology, vol 380. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32775-9_57
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DOI: https://doi.org/10.1007/978-3-642-32775-9_57
Publisher Name: Springer, Berlin, Heidelberg
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