NDLI: Community structure in networks: Girvan-Newman algorithm improvement

Content Provider	IEEE Xplore Digital Library
Author	Despalatović, L. Vojković, T. Vukic̆ević, D.
Copyright Year	2014
Description	Author affiliation: Dept. of Prof. Studies, Univ. of Split, Split, Croatia (Despalatović, L.) \|\| Fac. of Natural Sci. & Math., Univ. of Split, Split, Croatia (Vojković, T.; Vukic̆ević, D.)
Abstract	Real world networks often have community structure. It is characteristic that the groups of nodes are connected denser within themselves and rarely with each other. The Girvan-Newman method for the detection and analysis of community structure is based on the iterative elimination of edges with the highest number of the shortest paths that go through them. By eliminating edges the network breaks down into smaller networks, i.e. communities. This paper introduces improved Girvan-Newman method where multi-edge removal is allowed, and presents the results of the application of both methods to the existing real social network (Zachary karate club), the computergenerated network and the tumor genes and their mutations network. The improved algorithm in practice reduces the number of operations, but retains the same computational complexity, so it cannot be applied to networks with a very large number of nodes. The most important feature of our improvement is that the result is graph-theoretical invariant, while original algorithm depends on the vertex labeling.
Starting Page	997
Ending Page	1002
File Size	1028599
Page Count	6
File Format	PDF
e-ISBN	9789532330779
DOI	10.1109/MIPRO.2014.6859714
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-26
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	MIPRO
Subject Keyword	Edge betweenness Complex networks algorithms Image edge detection Communities Complex networks Educational institutions Graph theory Girvan-Newman Classification algorithms Cancer
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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