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Identifying Opinion Leaders in Time-Dependent Commercial Social Networks

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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Antonio Volpentesta, Alberto Felicetti. Identifying Opinion Leaders in Time-Dependent Commercial Social Networks. 13th Working Confeence on Virtual Enterpries (PROVE), Oct 2012, Bournemouth, United Kingdom. pp.571-581, ⟨10.1007/978-3-642-32775-9_57⟩. ⟨hal-01520422⟩



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