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 China#&#&#61702054 Natural Science Foundation of Hunan Province#&#&#2018JJ3568 Training Program for Excellent Young Innovators of Changsha#&#&#kq1802024 Scientific Research Fund of Education Department of Hunan Province#&#&#17A024 Scientific Research Fund of Education Department of Hunan Province#&#&#18C1178 National Natural Science Foundation of China#&#&#81873780 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 and Human Provincial Health and Family Planning Commission#&#&#[2018]85 Key Project of Hunan Provincial Commission of Health and Family Planning#&#&#[2017]144 Hunan Provincial Science and Technology Department Clinical Medical Technology Innovation Guide Project#&#&#2018SK50711

本校为其他机构

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...