Community detection from fuzzy and higher-order perspectives

被引：2

作者：

Xiao, Jing ^{[1
]}

Xu, Xiao-ke ^{[2
]}

机构：

[1] Dalian Minzu Univ, Coll Informat & Commun Engn, Dalian 116600, Peoples R China

[2] Beijing Normal Univ, Sch Journalism & Commun, Beijing 100875, Peoples R China

来源：

EPL | 2023年 / 144卷 / 01期

关键词：

OVERLAPPING COMMUNITIES; SOCIAL NETWORKS; MODULARITY; ALGORITHM; OPTIMIZATION;

D O I：

10.1209/0295-5075/acfdc9

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

- Our ability to observe the mesoscale topology of complex networks through com-munity detection has significantly advanced in the past decades. This progress has opened up new frontiers in discovering more sophisticated and meaningful community structures that pos-sess fuzzy and higher-order characteristics. This review provides an overview of two emerging research directions, which are fuzzy and higher-order community detection. It includes related concepts and practical scenarios, mathematical descriptions and latest advancements, as well as current challenges and future directions. Therefore, it will facilitate researchers in swiftly grasping the two emerging fields, offering valuable insights for future development of community detection studies.

引用

页数：8

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