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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:teaching
性别:男
毕业院校:重庆大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机软件与理论
办公地点:开发区综合楼405
联系方式:Email: zkchen@dlut.edu.cn Moble:13478461921 微信:13478461921 QQ:1062258606
电子邮箱:zkchen@dlut.edu.cn
An Information Sources Tracking Model Based on Instant Messaging Network
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论文类型:期刊论文
发表时间:2016-09-01
发表刊物:JOURNAL OF INTERNET TECHNOLOGY
收录刊物:SCIE、EI
卷号:17
期号:5
页面范围:1043-1051
ISSN号:1607-9264
关键字:Tracking information sources; WS small-world network; SVM; Instant messaging network
摘要:Currently, information sources cannot be tracked effectively. Aiming at this problem, this paper proposes an information sources tracking model based on instant messaging network and Strogatz (WS) small-world network model with N nodes. The proposed model uses the concept of a "group" to describe "group communication" in the instant messaging network. The information propagation rule is established according to an improved Susceptible Infected-Recovered (SIR) model. For one message in this improved SIR model, each node is characterized by four states: unknown state, receiving state, known state, and propagating state. Then, we simulated the simultaneous propagation of four messages in this model. After propagating the messages T times, the results are classified by Support Vector Machine (SVM) according to keywords. The first message is the information source of that category. Experimental results demonstrate that the proposed model can simulate the propagation process of an instant messaging network and track information sources effectively.