一种基于结构与内容的网络水军检测模型

发布时间：2018-05-18 18:19

本文选题：社交网络 + 网络水军　；参考：《微电子学与计算机》2017年12期

【摘要】：随着网络水军团体行为破坏性越来越强,如何有效检测网络水军成为一个迫切问题.针对这一问题,提出了一种基于结构与内容的网络谣言水军检测模型MSD,该模型认为重叠结构中多次传播谣言的节点为网络谣言水军.MSD首先从单位时间内发送信息的节点中,挖掘传播能力强的节点(重叠结构);然后根据已知的谣言与重叠结构中的节点传播内容进行相似度检测,检测出嫌疑网络水军;最后根据疑似网络水军传播谣言的频率确定网络水军.实验表明,MSD模型较相关其他模型,在检测网络谣言水军方面具有更高的准确率.
[Abstract]:With the increasingly destructive behavior of network navy groups, it becomes an urgent problem how to effectively detect the network naval forces. In order to solve this problem, a network rumour detection model based on structure and content, MSD-based, is proposed. The model considers that the node with multiple spreading rumors in overlapping structure is the node of network rumour army. MSD first sends information from the node per unit time. Mining the nodes with strong communication ability (overlapping structure), and then detecting the similarity between the known rumors and the content of the nodes spread in the overlapping structure to detect the suspected network navy; Finally, according to the suspected network water army spread rumors frequency to determine the network water army. The experimental results show that the MSD model is more accurate than other models in detecting network rumors.
【作者单位】：中国电信南京分公司网络运维部;
【基金】：国家自家科学基金(61300054)
【分类号】：TP393.0

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