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Research Project
Institute for Systems Engineering and Computers at Coimbra
Funder
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Publications
From motivation and self-structure to a decision support framework for online social networks
Publication . Antunes, Francisco; Freire, Manuela; Costa, João Paulo
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.
From Motivation and Self-Structure to a Decision-Support Framework for Online Social Networks
Publication . Antunes, Francisco; Freire, Manuela; Costa, João Paulo
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.
A Semantics Extraction Framework for Decision Support in Context-Specific Social Web Networks
Publication . Freire, Manuela; Antunes, Francisco; Costa, João Paulo
We are now part of a networked society, characterized by the intensive
use and dependence of information systems that deals with communication and
information, to support decision-making. It is thus clear that organizations, in
order to interact effectively with their customers, need to manage their communication
activities at the level of online channels. Monitoring these communications
can contribute to obtain decision support insights, reduce costs, optimize
processes, etc. In this work, we semantically studied the discursive exchanges of
a Facebook group created by a strawberries’ seller, in order to predict, through
Social Network Analysis (SNA) and semantic analysis of the posts, the quantities
to be ordered by customers. The obtained results show that the unstructured data
of the Web’s speech can be used to support the decision through SNA.
Organizational Units
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Funders
Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
6817 - DCRRNI ID
Funding Award Number
UID/Multi/00308/2013