期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：6
页码：267-274
DOI：10.14257/ijsip.2015.8.6.28
出版社：SERSC
摘要：The analysis of dissemination information and sources of information in social network services creates an urgent need with the explosive growth of the number of users and serious situation for false information and privacy leakage detection. Observe that the characteristics of randomness and uncontrollability makes malicious users manufacture and spread false malicious information, it is very difficult to find sources of information. A new information dissemination model based on probabilistic hyper-graph (IDMPH) is proposed. The method focuses on randomness for information dissemination process, introduces probabilistic hyper-graph to calculate the value of probability, find the most likely path and the leadership qualities for source nodes. Experimental results show that the conclusions are consistent with actual complex networks, have better ability to identify the path and leader nodes, can be used as basis for analysis of information control and information sources
关键词：social network services; probabilistic hyper-graph; information ; dissemination; leader nodes
