复杂网络集群中的行为取证研究  

Behavior Forensics Research in Complex Network Cluster

作　　者：杜锦[1,2] 丁丽萍[2] 陈光宣[1,3] DU Jin DING Li-ping CHEN Guang-xuan(Digital Forensics Lab, Institute of Software Application Technology, Guangzhou ＆ Chinese Academy of Sciences, Guangzhou 511458, China Yunnan Police College,Kunming 650223,China Zhejiang Police College, Hangzhou 310053,China)

机构地区：[1]广州中国科学院软件应用技术研究所电子数据取证实验室,广州511458 [2]云南警官学院,昆明650223 [3]浙江警察学院,杭州310053

出　　处：《计算机科学》2016年第B12期7-15,共9页Computer Science

基　　金：本文受国家高技术研究发展计划（863计划）（2015AA016003）.NSFC-浙江两化融合联合基金（U1509219）,云南省2015卓越教师项目资助.

摘　　要：采集2015年十大网络集群事件热点之一的PM事件作为数据样本，通过对整个事件中起到关键传播作用的30个媒体集群及其相互关系进行研究，首先分析了在此类网络集群事件中具有关联性质的网络集群间的行为特征，以及集群行为传播的规律；再从关联集群构造的集群传播网络中，发掘和定位集群行为中的关键节点和关键路径，对二者的相关性质进行了深入探讨，并利用复杂网络方法分析和证实网络集群中存在的相关性质特征。利用综合学科优势，针对实际工作需要，深入研究了网络集群行为在不同集群间传播的关键，准确定位了网络集群中需要重点观测的对象及其行为模式，为进一步研究和证据提取提供了科学参考。This paper collected the 2015 PM event, which is one of the top ten hot network cluster events, as the data sample. Through analyzing 80 media clusters which play key roles in whole event spread and their relations, we firstly analyzed the relevance behavior characteristics between qualitative network and the behavior patterns of the cluster in this kind of network cluster events. Then, from associated cluster structure of cluster, we discovered and located the key node and the critical path in the cluster behavior, discussed the related properties of them deeply, and used the method of complex network to analyze and confirm the related property characteristics in the network cluster. This article used advantages of multidisciplinary, in accordance with the need of practical work, further studied the key of which the network cluster behavior transmit between the cluster behaviors, and accurately located objects which need to be focused more and its behavior patterns in the network cluster, providing a scientific reference for further research.

关 键 词：网络集群 社会计算 复杂网络 网络集群行为 关键节点&路径 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]