Review On the Community Detection Methods in Network

被引:0
作者
Hussain, Munawar [1 ]
Jiadong, Ren [1 ]
Ahmad, Hafiz Shehzad [2 ]
Akram, Awais [1 ]
Ibrar, Muhammad [3 ]
机构
[1] Yanshan Univ, Qinhuangdao, Hebei, Peoples R China
[2] Hebei Univ Technol, Tianjin, Peoples R China
[3] Harbin Inst Technol, Harbin, Peoples R China
来源
VISION 2020: SUSTAINABLE ECONOMIC DEVELOPMENT AND APPLICATION OF INNOVATION MANAGEMENT | 2018年
关键词
Network theory; Community Detection; clustering; networks;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In network to detect the useful communities is a very interesting and vital topic in the field of network theory. Modules, clusters or communities consider as a division of nodes having higher possibility of to be linked with others in a network. To detect different communities in networks is a vague issue. There are many algorithms to find communities but still accuracy and performance not so good and have not comprehensive basic elements. This problem has created uncertainty and illusion which leads to sabotage the headway in this topic. In this paper, we will short review of different community detection methods in networks.
引用
收藏
页码:5669 / 5675
页数:7
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