期刊论文

Yu, Yun-Xia;Xiang, Ju

英文

PLOS ONE

1932-6203

2020

15

3

e0227244

10.1371/journal.pone.0227244

National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61702054, 81873780]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2018JJ3568, 2019JJ50697]; Training Program for Excellent Young Innovators of Changsha [kq1905045, kq1905047]; Scientific Research Fund of Education Department of Hunan Province [17A024, 18B539, 19B072]; Hunan Key Laboratory Cultivation Base of the Research and Development of Novel Pharmaceutical Preparations [2016TP1029]; Hunan Provincial Innovation Platform and Talents Program [2018RS3105]; Hunan Provincial Science and Technology Department [[2018]85]; Human Provincial Health and Family Planning Commission [[2018]85]; Hunan Provincial Commission of Health and Family Planning [[2017]144]; Hunan Provincial Science and Technology Department Clinical Medical Technology Innovation GuideProject [2018SK50711]

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Community detection in complex networks is an important issue in network science. Several statistical measures have been proposed and widely applied to detecting the communities in various complex networks. However, due to the lack of flexibility resolution, some of them have to encounter the resolution limit and thus are not compatible with multi-scale structures of complex networks. In this paper, we investigated a statistical measure of interest for community detection, Significance [Sci. Rep. 3 (2013) 2930], and analyzed its critical behaviors based on the theoretical derivation of critica...