Many networks exhibit the core/periphery structure.Core/periphery structure is a type of meso-scale structure that consists of densely connected core nodes and sparsely connected peripheral nodes.Core nodes tend to be...Many networks exhibit the core/periphery structure.Core/periphery structure is a type of meso-scale structure that consists of densely connected core nodes and sparsely connected peripheral nodes.Core nodes tend to be well-connected,both among themselves and to peripheral nodes,which tend not to be well-connected to other nodes.In this brief report,we propose a new method to detect the core of a network by the centrality of each node.It is discovered that such nodes with non-negative centralities often consist in the core of the networks.The simulation is carried out on different real networks.The results are checked by the objective function.The checked results may show the effectiveness of the simulation results by the centralities of the nodes on the real networks.Furthermore,we discuss the characters of networks with the single core/periphery structure and point out the scope of the application of our method at the end of this paper.展开更多
本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析...本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析参数表明核心关键词数量增长速度低于关键词总量增速。依据核心关键词表达核心知识概念的逻辑，推论特定知识领域中稳定的核心概念及其共现网络反映了该领域相对稳定的核心知识及其结构。展开更多
基金Project supported by the National Natural Science Foundation of China (Gant No.11872323)。
文摘Many networks exhibit the core/periphery structure.Core/periphery structure is a type of meso-scale structure that consists of densely connected core nodes and sparsely connected peripheral nodes.Core nodes tend to be well-connected,both among themselves and to peripheral nodes,which tend not to be well-connected to other nodes.In this brief report,we propose a new method to detect the core of a network by the centrality of each node.It is discovered that such nodes with non-negative centralities often consist in the core of the networks.The simulation is carried out on different real networks.The results are checked by the objective function.The checked results may show the effectiveness of the simulation results by the centralities of the nodes on the real networks.Furthermore,we discuss the characters of networks with the single core/periphery structure and point out the scope of the application of our method at the end of this paper.
文摘本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析参数表明核心关键词数量增长速度低于关键词总量增速。依据核心关键词表达核心知识概念的逻辑，推论特定知识领域中稳定的核心概念及其共现网络反映了该领域相对稳定的核心知识及其结构。
