Analysis of complex data by means of complex networks

Massimiliano Zanin, Ernestina Menasalvas, Stefano Boccaletti, Pedro A Sousa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationTechnological Innovation for Collective Awareness Systems
Subtitle of host publication5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, Costa de Caparica, Portugal, April 7-9, 2014. Proceedings
EditorsLuis M. Camarinha-Matos, Nuno S. Barrento, Ricardo Mendonça
Place of PublicationHeildelberg
PublisherSpringer Berlin Heidelberg
Pages39-46
Number of pages8
VolumePart 3
ISBN (Electronic)978-3-642-54734-8
ISBN (Print)978-3-642-54733-1
DOIs
Publication statusPublished - 2014
Event5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS) - Costa da Caparica, Portugal
Duration: 7 Apr 20149 Apr 2014

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer Berlin Heidelberg
Volume423
ISSN (Print)1868-4238

Conference

Conference5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
CountryPortugal
CityCosta da Caparica
Period7/04/149/04/14

Keywords

  • Complex Systems
  • Complex networks
  • Data mining

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