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An Effective Algorithm for Optimizing Surprise in Network Community Detection

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成果类型:
期刊论文
作者:
Tang, Yan-Ni;Xiang, Ju*;Gao, Yuan-Yuan*;Wang, Zhi-Zhong;Li, Hui-Jia*;...
通讯作者:
Xiang, Ju;Gao, Yuan-Yuan;Li, Hui-Jia
作者机构:
[Tang, Yan-Ni; Gao, Yuan-Yuan; Xiang, Ju; Gao, YY; Li, Jian-Ming] Changsha Med Univ, Neurosci Res Ctr, Sch Basic Med Sci, Changsha 410219, Peoples R China.
[Wang, Zhi-Zhong; Xiang, Ju] Hunan First Normal Univ, South City Coll, Changsha 410205, Peoples R China.
[Xiang, Ju; Zhang, Yan] Cent S Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.
[Li, Hui-Jia] Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China.
[Zhang, Yan; Chen, Shi] Changsha Med Univ, Dept Informat Sci & Engn, Changsha 410219, Peoples R China.
通讯机构:
[Xiang, J; Gao, YY; Xiang, Ju] C
[Xiang, Ju] H
[Li, Hui-Jia] B
Changsha Med Univ, Neurosci Res Ctr, Sch Basic Med Sci, Changsha 410219, Peoples R China.
Hunan First Normal Univ, South City Coll, Changsha 410205, Peoples R China.
语种:
英文
关键词:
Community detection;Complex networks;Disease gene;Disease module;Surprise
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2019
卷:
7
页码:
148814-148827
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 61702054, Grant 71871233, and Grant 81873780, in part by the Scientific Research Fund of Education Department of Hunan Province under Grant 17A024, Grant 18C1178, Grant 18C1152, and Grant 18B539, in part by the Training Program for Excellent Young Innovators of Changsha under Grant kq1802024, in part by the Hunan Provincial Natural Science Foundation of China under Grant 2018JJ3568, in part by the Postgraduate Research Innovation Project of Central South University under Grant 1053320182729, in part by the Beijing Natural Science Foundation under Grant 9182015, in part by the Application Characteristic Discipline of Hunan Province, in part by the Hunan Key Laboratory Cultivation Base of the Research and Development of Novel Pharmaceutical Preparations under Grant 2016TP1029, in part by the Hunan Provincial Innovation Platform and Talents Program under Grant 2018RS3105, in part by the Project of the Hunan Provincial Science and Technology Department and Human Provincial Health and Family Planning Commission under Grant [2018]85, in part by the Natural Science Foundation of Hunan Province under Grant 2017JJ2228, in part by the Key Project of Hunan Provincial Commission of Health and Family Planning under Grant [2017]144, in part by the Hunan Province Science and Technology Major Project under Grant 2016SK1001-1, and in part by the Clinical Medical Technology Innovation Guide Project of Hunan Provincial Science and Technology Department under Grant 2018SK50711.
机构署名:
本校为其他机构
院系归属:
医学院
摘要:
Many methods have been proposed to detect communities/modules in various networks such as biological molecular networks and disease networks, while optimizing statistical measures for community structures is one of the most popular ways for community detection. Surprise, which is a statistical measure of interest for community detection, has good performance in many networks, but it still encounters the resolution limit in some cases and it is hard to be optimized due to its strong nonlinearity. Here, we discussed the resolution limit of Surpri...

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