首页> 外文会议>2010 IEEE International Workshop on Business Applications of Social Network Analysis >Identifying key players in a social network: Measuring the extent of an individual's Neighbourhood Connectivity
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Identifying key players in a social network: Measuring the extent of an individual's Neighbourhood Connectivity

机译:识别社交网络中的关键参与者:衡量个人的邻里连接程度

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In this paper, we argue that only sufficient increase in distance between the nodes which can virtually disconnect the graph is necessary instead of the physical disconnection of the network to identify the key players in a network. A procedure is described for finding sets of key players in a social network. A key assumption is that the importance of a node v not only depends on the cohesion of its personal network but also depends on, to which extent the immediate neighbors and indirect contacts of node v are connected with each other. Therefore, a new measure of importance of a node in a network has been described which suggests the best node whose removal maximally increases the distances between rests of the nodes to virtually disconnect the graph at-least. Moreover, an algorithm based on network disruption has also been described which uses the proposed measure and chooses a single or group of nodes as key players in a network.
机译:在本文中,我们认为,仅需要充分增加节点之间的距离即可虚拟断开图,而无需物理断开网络来确定网络中的关键参与者。描述了一种用于在社交网络中寻找关键参与者的集合的过程。一个关键的假设是,节点v的重要性不仅取决于其个人网络的凝聚力,还取决于节点v的直接邻居和间接联系人在多大程度上相互连接。因此,已经描述了网络中节点重要性的新度量,该度量提出了最佳节点,该最佳节点的移除最大程度地增加了其余节点之间的距离,从而实际上至少断开了该图的连接。此外,还描述了一种基于网络中断的算法,该算法使用提出的措施并选择单个或一组节点作为网络中的关键参与者。

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