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通过消息监控识别罪犯的Markov模型研究
On Research of Identifying Crime through Monitoring Message Based on Markov Model
【摘要】 通过消息监控识别罪犯是一个十分有意义的实际问题。采用Markov模型,将整个消息传递网络看作一个犯罪传递的Markov链,根据所收集到的消息估计出两个节点(人)之间犯罪传递的概率,得到一个Markov概率转移矩阵,并求出网络长期运行的稳定解,作为各节点(人)参与犯罪程度的度量。通过实例说明了该方法的有效性。
【Abstract】 It’s very important to identify crime through monitoring message.In this paper,based on Markov model,the whole message-transmitting network is regarded as a Markov chain.According to the message,the transfer probability between two nodes is estimated first.Then the transfer matrix of Markov is obtained.The stable solution of the network is solved and the suspicious degree of every person is obtained.At last,the method is demonstrated by a real illustration.
【关键词】 通信主题;
转移概率;
嫌疑程度;
Markov模型;
【Key words】 communication topic; transfer probability; crime degree; Markov model;
【Key words】 communication topic; transfer probability; crime degree; Markov model;
【基金】 西北工业大学2012大学生创新项目
- 【文献出处】 数学建模及其应用 ,Mathematical Modeling and Its Applications , 编辑部邮箱 ,2013年01期
- 【分类号】D917;O211.62
- 【下载频次】145