南方科技大学知识苑(SUSTech KC): 发现网络社区结构方法及系统

Title	发现网络社区结构方法及系统
Alternative Title	Method and system for discovering network community structure
Author	吕超; 史玉回; 孙立君
First Inventor	吕超
Original applicant	南方科技大学
First applicant	南方科技大学
Address of First applicant	518055 广东省深圳市南山区西丽学苑大道1088号
Current applicant	南方科技大学
Address of Current applicant	518055 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
First Current Applicant	南方科技大学
Address of First Current Applicant	518055 广东省深圳市南山区西丽学苑大道1088号 (广东,深圳,南山区)
Application Number	CN202010090880.1
Application Date	2020-02-13
Open (Notice) Number	CN111260491A
Date Available	2020-06-09
Status of Patent	实质审查
Legal Date	2020-07-03
Subtype	发明申请
SUSTech Authorship	First
Abstract	本发明公开了发现网络社区结构方法及系统。涉及人工智能领域，其中，方法通过获取构建的网络模型，然后对网络模型进行适应度优化得到优化结果，将优化结果转换为网络层次的社区结构。由于现实社会中的多层复杂网络模型各层次间存在一定相关性，且不同层次的社区结构显著性差异较大，因此利用复杂网络模型各层之间的相关性进行适应度优化，根据优化结果实现多层复杂网络模型不同网络层社区结构的协同检测，不需要事先指定社团总数，具有通用性和稳定性的特点。
Other Abstract	The invention discloses a method and a system for discovering a network community structure. The method relates to the field of artificial intelligence, and comprises the following steps: acquiring aconstructed network model, performing fitness optimization on the network model to obtain an optimization result, and converting the optimization result into a network-level community structure. A plurality of layers of a multi-layer complex network model in the real society have certain correlation; the community structures of different layers are greatly different in significance, so that fitness optimization is carried out by utilizing the correlation between the layers of the complex network model, the collaborative detection of the community structures of different network layers of the multi-layer complex network model is realized according to an optimization result, the total number of communities does not need to be specified in advance, and the method has the characteristics of universality and stability.
CPC Classification Number	G06N3/006 ; G06Q50/01
IPC Classification Number	G06Q50/00 ; G06N3/00
INPADOC Legal Status	（ENTRY INTO FORCE OF REQUEST FOR SUBSTANTIVE EXAMINATION）[2020-07-03][CN]
INPADOC Patent Family Count	1
Extended Patent Family Count	1
Priority date	2020-02-13
Patent Agent	洪铭福
Agency	广州嘉权专利商标事务所有限公司
URL	[Source Record]
Data Source	PatSnap
Document Type	Patent
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/531709
Department	Department of Computer Science and Engineering
Recommended Citation GB/T 7714	吕超,史玉回,孙立君. 发现网络社区结构方法及系统.

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