Analysis of Complex Data by Means of Complex Networks - Technological Innovation for Collective Awareness Systems (DoCEIS 2014) Access content directly
Conference Papers Year : 2014

Analysis of Complex Data by Means of Complex Networks

Ernestina Menasalvas
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Stefano Boccaletti
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Pedro A. Sousa
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In the ever-increasing availability of massive data sets describing complex systems, i.e. systems composed of a plethora of elements interacting in a non-linear way, complex networks have emerged as powerful tools for characterizing these structures of interactions in a mathematical way. In this contribution, we explore how different Data Mining techniques can be adapted to improve such characterization. Specifically, we here describe novel techniques for optimizing network representations of different data sets; automatize the extraction of relevant topological metrics, and using such metrics toward the synthesis of high-level knowledge. The validity and usefulness of such approach is demonstrated through the analysis of medical data sets describing groups of control subjects and patients. Finally, the application of these techniques to other social and technological problems is discussed.
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hal-01274746 , version 1 (16-02-2016)





Massimiliano Zanin, Ernestina Menasalvas, Stefano Boccaletti, Pedro A. Sousa. Analysis of Complex Data by Means of Complex Networks. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. pp.39-46, ⟨10.1007/978-3-642-54734-8_5⟩. ⟨hal-01274746⟩
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