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Fraud Phone Calls Analysis Based on Label Propagation Community Detection Algorithm

机译:基于标签传播社区检测算法的欺诈电话分析

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With the continuous development of communications industry, the majority of users gradually enjoy a variety of communications services. In the meantime, however, more and more fraud phones appears in the user's daily life. Although there are currently many interception schemes for fraud phones, they all belong to passive interception and rely on intelligent terminals. Therefore, this paper proposes a fraud phone calls analysis method based on label propagation community detection algorithm (LPA). Call content data are transformed into complex network. The LPA algorithm is used to generate fraud communities on this complex network. Detail analysis is also carried out for extracting the detail of communities. Results show that the methods can help to quickly identity the fraud phone calls.
机译:随着通讯行业的不断发展,广大用户逐渐享受到各种通讯服务。然而,与此同时,越来越多的欺诈电话出现在用户的日常生活中。尽管当前有许多用于欺诈电话的拦截方案,但它们都属于被动拦截并且依赖于智能终端。因此,本文提出了一种基于标签传播社区检测算法(LPA)的欺诈电话分析方法。通话内容数据被转换成复杂的网络。 LPA算法用于在此复杂的网络上生成欺诈社区。还进行了详细分析,以提取社区的详细信息。结果表明,这些方法可以帮助快速识别欺诈电话。

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