Exploring the Community Structure of Complex Networks

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.


Issue Date:
Sep 09 2016
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/244529
Total Pages:
34
JEL Codes:
C4; C60; L14
Series Statement:
ET
57.2016




 Record created 2017-04-01, last modified 2017-08-29

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