检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]西南交通大学CAD工程中心,四川成都610031
出 处:《西南交通大学学报》2009年第3期426-429,共4页Journal of Southwest Jiaotong University
基 金:国家863计划资助项目(2007AA04Z188);四川省科技计划项目(2008GZ0007)
摘 要:为提高复杂网络中重要节点评估的效率和有效性,提出了一种基于节点接近度和节点在其邻域中的关键度评估复杂网络中节点重要度的方法.该方法综合了节点的全局和局部重要性,即在复杂网络中,节点的接近度越大,该节点越居于网络的中心,在网络中就越重要;节点在其邻域中的关键度越大,该节点对其邻域越重要.根据该方法设计了复杂网络中节点重要度评估算法,该算法的复杂度为O(n3).实例分析证明了该方法的有效性.To improve the efficiency and validity of node importance evaluating, a new evaluation method for node importance in complex networks was proposed based on node closeness and node key degree in its neighborhood. In this method, the global importance and the local importance of nodes are combined. The basic thought of the method is that the bigger the closeness of a node is, the closer to center of a complex network the node is and the more important it is; the bigger the key degree of a node in its neighborhood is, the more important in the neighborhood the node is. An evaluation algorithm corresponding to the method was designed. This algorithm has a time complexity of 0 (n^3). Finally, the validity of the proposed method was verified by experiments.
关 键 词:复杂网络 节点重要度 接近度 邻域 关键域 关键度
分 类 号:O233[理学—运筹学与控制论]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.118