%0 Conference Proceedings
%T Identifying Opinion Leaders in Time-Dependent Commercial Social Networks
%+ Department of Electronics, Computer Science and Systems
%A Volpentesta, Antonio, P.
%A Felicetti, Alberto, M.
%Z Part 19: Identification of Patterns
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 13th Working Confeence on Virtual Enterpries (PROVE)
%C Bournemouth, United Kingdom
%Y Luis M. Camarinha-Matos
%Y Lai Xu
%Y Hamideh Afsarmanesh
%I Springer
%3 Collaborative Networks in the Internet of Services
%V AICT-380
%P 571-581
%8 2012-10-01
%D 2012
%R 10.1007/978-3-642-32775-9_57
%K Opinion leaders
%K Social Networks
%K Social Network Centrality
%K Viral Marketing
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01520422/document
%2 https://inria.hal.science/hal-01520422/file/978-3-642-32775-9_57_Chapter.pdf
%L hal-01520422
%U https://inria.hal.science/hal-01520422
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-PROVE
%~ IFIP-AICT-380