Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/149530
Authors: 
Drago, Carlo
Year of Publication: 
2016
Series/Report no.: 
Nota di Lavoro, Fondazione Eni Enrico Mattei 57.2016
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.
Subjects: 
Complex Networks
Community Detection
Communities
Interval Data
Interlocking Directorates
JEL: 
C4
C60
L14
Document Type: 
Working Paper

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