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Performance Analysis of Girvan-Newman Algorithm on Different Types of Random Graphs.

Authors :
Matijević, Tripo
Vujičić, Tijana
Ljucović, Jelena
Radunović, Petar
Balota, Adis
Source :
Central European Conference on Information & Intelligent Systems; Sep2016, p11-16, 6p
Publication Year :
2016

Abstract

A graph is an abstraction for modeling relationships between things. Different types of graph can be used to model real networks, depending on their characteristics. Main goal of this paper is to analyze performances of one of the most widely applied algorithms for clusterization of graphs, Girvan - Newman algorithm, on different types of randomly generated graphs in order to see what type of graph is the most appropriate to use in real world example. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18472001
Database :
Complementary Index
Journal :
Central European Conference on Information & Intelligent Systems
Publication Type :
Conference
Accession number :
119563631