Exploring the Community Structure of Complex Networks

Carlo Drago

MPRA Paper from University Library of Munich, Germany

Abstract: Regarding complex networks, one of the most relevant problems is to understand and to explore community structure. In particular it is important to define the network organization and the functions associated to the different network partitions. In this context, the idea is to consider some new approaches based on interval data in order to represent the different relevant network components as communities. The method is also useful to represent the network community structure, especially the network hierarchical structure. The application of the methodologies is based on the Italian interlocking directorship network.

Keywords: Complex Networks; Community Detection; Communities; Interval Data; Interlocking Directorates (search for similar items in EconPapers)
JEL-codes: C4 C60 L14 (search for similar items in EconPapers)
Date: 2015-03-28
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https://mpra.ub.uni-muenchen.de/81024/1/MPRA_paper_81024.pdf original version (application/pdf)

Related works:
Working Paper: Exploring the Community Structure of Complex Networks (2016)
Working Paper: Exploring the Community Structure of Complex Networks (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:81024

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