Physics – Physics and Society
Scientific paper
2006-01-19
Physics
Physics and Society
6 pages, 4 figures
Scientific paper
10.1088/1742-5468/2006/11/P11010
Identifying community structure can be a potent tool in the analysis and understanding of the structure of complex networks. Up to now, methods for evaluating the performance of identification algorithms use ad-hoc networks with communities of equal size. We show that inhomogeneities in community sizes can and do affect the performance of algorithms considerably, and propose an alternative method which takes these factors into account. Furthermore, we propose a simple modification of the algorithm proposed by Newman for community detection (Phys. Rev. E {\bf 69} 066133) which treats communities of different sizes on an equal footing, and show that it outperforms the original algorithm while retaining its speed.
Arenas Alex
Danon Leon
Diaz-Guilera Albert
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