[Zheng, Ying] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.
[Yang, Juan] Ningxia Med Univ, Dept Neurol, Gen Hosp, Yinchuan, Ningxia, Peoples R China.
通讯机构：
[Hui Li; Juan Yang] D
Department of Neurology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, P. R. China<&wdkj&>Department of Computer Science, Jiangsu Ocean University, Lianyungang 222000, Jinagsu, P. R. China
语种：
英文
关键词：
Entropy;Knowledge based systems;Population dynamics;Semantics;Signal detection;Community detection;Community detection algorithms;Distribution entropies;Interest;Module distribution entropy;Ontology's;Overlapping communities;Overlapping community detections;Topic;Users' interests;Ontology
期刊：
International Journal of Pattern Recognition and Artificial Intelligence
The research is supported by the National Natural Science Foundation of China (Nos. 72174079, 1210050123 and 72101045), Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 21KJB520033), Lianyungang ""521 projects"".
机构署名：
本校为其他机构
院系归属：
林学院
摘要：
Ontology user portraits describe the semantic structure of users' interests. It is very important to study the similar relationship between user portraits to find the communities with overlapping interests. The hierarchical characteristics of user interest can generate multiple similarity relations, which is conducive to the formation of interest clusters. This paper proposed a method of overlapping community detection combining the hierarchical characteristics of user interest and the module distribution entropy of node. First, a hierarchical ...
