Wang Xue-Guang
Department of Computer Science, East China University of Political Science and Law, Shanghai 201620, China ; Department of Computer Science, University College London (UCL), London WC1E 6BT, UK.
ScientificWorldJournal. 2014;2014:414717. doi: 10.1155/2014/414717. Epub 2014 Apr 10.
Discovering critical nodes in social networks has many important applications. For finding out the critical nodes and considering the widespread community structure in social networks, we obtain each node's marginal contribution by Owen value. And then we can give a method for the solution of the critical node problem. We validate the feasibility and effectiveness of our method on two synthetic datasets and six real datasets. At the same time, the result obtained by using our method to analyze the terrorist network is in line with the actual situation.
发现社交网络中的关键节点有许多重要应用。为了找出关键节点并考虑社交网络中普遍存在的社区结构,我们通过欧文值获得每个节点的边际贡献。然后我们可以给出一种解决关键节点问题的方法。我们在两个合成数据集和六个真实数据集上验证了我们方法的可行性和有效性。同时,使用我们的方法分析恐怖主义网络所得到的结果与实际情况相符。