Research on community detection algorithm based on site topic similarity and topology  

作　　者：Hu Yi Li Zhengmin Chi Lejun Lin Jinxiu 胡艺;Li Zhengmin;Chi Lejun;Lin Jinxiu(School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, P. R. China;National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, P. R. China)

机构地区：[1]School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, P. R. China [2]National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, P. R. China

出　　处：《High Technology Letters》2018年第2期189-195,共7页高技术通讯（英文版）

基　　金：Supported by the National Science and Technology Support Program of China(No.2012BAH45B01);the National Natural Science Foundation of China(No.61100189,61370215,61370211,61402137);the National“242”Project of China(No.2016A104)

摘　　要：Considering the deviation in content of community detection resulting from the tow accuracy of resource relevance, an algorithm based on the topology of sites and the similarity between their topics is proposed. With topic content factors fully considered, this algorithm can search for topically similar site clusters on the premise of inter-site topology. The experimental results show that the algorithm can generate a more accurate result of detection in the real network.Considering the deviation in content of community detection resulting from the low accuracy of resource relevance,an algorithm based on the topology of sites and the similarity between their topics is proposed. With topic content factors fully considered,this algorithm can search for topically similar site clusters on the premise of inter-site topology. The experimental results show that the algorithm can generate a more accurate result of detection in the real network.

关 键 词：site relationship network community detection topic similarity clustering 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]