Research of Social Network Information Transmission Based on User Influence

被引:0
作者
Zhu, Zhenfang [1 ]
Wang, Peipei [2 ]
Liu, Peiyu [3 ]
Wang, Fei [3 ]
机构
[1] Shandong Jiaotong Univ, Sch Informat Sci & Elect Engn, Jinan 250357, Shandong, Peoples R China
[2] Shandong Management Univ, Sch Accountancy, Jinan 250100, Peoples R China
[3] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
来源
INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III | 2018年 / 10956卷
基金
国家教育部科学基金资助;
关键词
Social networks; Information dissemination; User influence; Propagation model;
D O I
10.1007/978-3-319-95957-3_59
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Along with the rapid development of the social network, social network information transmission mode has been changed. In this case, it needs to measure the factors affecting the spread of social network in order to adapt to the changes of social network communication model, and predict the paths to social network transmission. Because of these reasons, this article proposed a social network information transmission model based on the influence of user nodes in the social networks. In this model, the function of mutual influence between the network users was defined first; Secondly, this paper proposed a model of social network information transmission based on user's relative weight; the third, the communication process and the propagation path of network is analyzed; At last, the different paths of information dissemination influence were discussed. In order to verify the validity of the model, this paper compared this model with the traditional SIR model in six kinds of social networks. From the results of contrast tests, we could see that the proposed model of social networks based on user influence could get much more excellent performance.
引用
收藏
页码:564 / 574
页数:11
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