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Structural and algorithmic properties of 2-community structures

Bazgan, Cristina; Chlebíková, Janka; Pontoizeau, Thomas (2018), Structural and algorithmic properties of 2-community structures, Algorithmica, 80, 6, p. 180-1908. 10.1007/s00453-017-0283-7

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Type
Article accepté pour publication ou publié
Date
2018
Journal name
Algorithmica
Volume
80
Number
6
Publisher
Springer
Pages
180-1908
Publication identifier
10.1007/s00453-017-0283-7
Metadata
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Author(s)
Bazgan, Cristina
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Chlebíková, Janka

Pontoizeau, Thomas
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
We investigate the structural and algorithmic properties of 2-community structures in graphs introduced recently by Olsen (Math Soc Sci 66(3):331–336, 2013). A 2-community structure is a partition of a vertex set into two parts such that for each vertex the numbers of neighbours in/outside its own part and the sizes of the parts are correlated. We show that some well studied graph classes as graphs of maximum degree 3, minimum degree at least |V|−3, trees and also others, have always a 2-community structure. Furthermore, a 2-community structure can be found in polynomial time in all these classes, even with additional request of connectivity in both parts. We introduce a concept of a weak 2-community and prove that in general graphs it is NP-complete to find a balanced weak 2-community structure with or without request for connectivity in both parts. On the other hand, we present a polynomial-time algorithm to solve the problem (without the condition for connectivity of parts) in graphs of degree at most 3.
Subjects / Keywords
Graph theory; Complexity; Graph partitioning; Community structure; Clustering; Social networks; Approximation

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