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Title:
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SCIENTIFIC SOCIAL NETWORK VISUALIZATION |
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Author(s):
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Victor Ströele, Geraldo Zimbrão, Jano M. Souza |
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ISBN:
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978-989-8533-16-6 |
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Editors:
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Bebo White and Pedro Isaías |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Multi-relational Scientific Social Network Analysis, Temporal Visualization, Max Flow Grouping Algorithm |
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Type:
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Full Paper |
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First Page:
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27 |
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Last Page:
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34 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Social Networks are dynamic social structures formed by individuals or organizations. Usually, these networks are represented by nodes connected by one or more relationships types. Although they are extremely complex structures, analyze it allows us to detect many types of connections between people within and outside their institutions. This paper presents a proposal based on data mining techniques in order to identify intra and inter organizational relationships. We propose a framework to support the analysis of multi-relational social network, which includes modules focused on relationships analysis, and a module devoted to visual analysis of the network. |
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