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Orientador(es)
Resumo(s)
Data collected from online social networks offers new possibilities for supporting organizations’ daily
activities. It is also common knowledge that the opinion exchange in online social networks provides a
decisive contribution in decision making. It is, thus, necessary to review and bare present the motivations
by which people engage in online social network and the ways in which firms can make use of such
motivations in order to take advantage of online social networks as information sources for decisionmaking
support. To do so, the authors of this chapter developed the decision-support social networks
to extract such information, which encompasses the intertwined use of human interaction and network
structure by combining human capabilities, social network analysis (SNA), and automatic data mining.
In this chapter, a brief summary of the performed case studies over the proposed information model is
also presented.
Descrição
Palavras-chave
Case Study Data Extraction Decision-Making Group Online Social Network Semantics Social Network Analysis
Contexto Educativo
Citação
Antunes, F., Freire, M., Costa, J.P. (2018) “From motivation and self-structure to a decision support framework for online social networks”, Multidisciplinary Perspectives on Human Capital and Information Technology Professionals Ahuja, V., & Rathore, S. (Eds). Hershey, PA: IGI Global.
Editora
IGI Global