Exploring the Community Structure of Complex Networks

Carlo Drago

No 244529, ETA: Economic Theory and Applications from Fondazione Eni Enrico Mattei (FEEM)

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: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Pages: 34
Date: 2016-09-09
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/244529/files/NDL2016-057.pdf (application/pdf)

Related works:
Working Paper: Exploring the Community Structure of Complex Networks (2016)
Working Paper: Exploring the Community Structure of Complex Networks (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:feemth:244529

DOI: 10.22004/ag.econ.244529

Access Statistics for this paper

More papers in ETA: Economic Theory and Applications from Fondazione Eni Enrico Mattei (FEEM) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().