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Refinement for community structures of bipartite networks

Authors
Lee, Sang Hoon
Issue Date
Dec-2021
Publisher
한국물리학회
Keywords
Community structure of networks; Bipartite networks; Network community inconsistency
Citation
Journal of the Korean Physical Society, v.79, no.12, pp 1190 - 1198
Pages
9
Indexed
SCIE
SCOPUS
KCI
Journal Title
Journal of the Korean Physical Society
Volume
79
Number
12
Start Page
1190
End Page
1198
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/2930
DOI
10.1007/s40042-021-00352-3
ISSN
0374-4884
1976-8524
Abstract
Bipartite networks composed of dichotomous node sets are ubiquitous in nature and society. Partly for simplicity's sake, many studies have focused on their projection onto their unipartite versions where one only needs to care about a single type of node. When it comes to mesoscale structures such as communities, however, properly incorporating a priori structural restrictions such as bipartivity is ever more important. In this paper, as a case study, we take the community structure of bipartite networks in various scales to examine the amount of information of bipartivity encoded in the community detection procedure. In particular, we report the robustness in reliability of detected community based on consistency by comparing the detection algorithm with or without the consideration of bipartivity. From the analysis with model networks embedding prescribed communities and real networks, we find that the community detection tailored to take the bipartivity into account clearly yields more robust community structures than the one without such structural information. This demonstrates the necessity for customizing the community detection algorithm by encoding whatever information is known about networks of interest and, at the same time, raises an interesting question on the possibility of estimating the quantitative amount of information from such a customization.
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Lee, Sang Hoon
자연과학대학 (물리학과)
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