摘要
基于以单个节点为中心的两层邻居网络,研究了复杂网络中的局部拓扑结构,提出邻居度等相关概念,分析了邻居度在复杂网络中信息的传递控制、MAS中的结构自组织、系统的鲁棒性以及网络社区发现等方面的应用,其中通过邻居度的分解可以有效地对Zachary社会关系网进行社区划分。
The local topological structure in complex network is studied based on a two layer depth network, which is centered by a node. Some concepts used in neighborhood network are proposed, one of which is called neighborhood-degree. By analysis, it is found that neighborhood network can be applied in Internet's information transfer and control, self-adaptation in agent organization, network's robustness and community discovery. By decomposing the neighborhood-degree, the community segmentation of Zachary social network can be effectively conducted, and the result is in good agreement with real situation.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2013年第2期404-409,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61170224)
山东省自然科学基金项目(ZR2011FL018)
山东高等学校科研计划项目(J11LG35,J10LG27)
山东省科技攻关项目(JS12K21)
关键词
人工智能
邻居度
MAS
信息控制
网络社区发现
artificial intelligence
neighbourhoods-degree
multi-agent system
information control community discovery