Institute for Systems Engineering and Computers at Coimbra

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Organizational Unit

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.

2018-02Journal article

Open access

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.

2021Book part

Restricted access

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.

2017-04-21Journal article

Restricted access