Inferring social roles with spatio-temporal awareness

被引：0
|
作者：
Hu Y. [1 ,2 ]
Li S. [1 ]
Yu W. [1 ]
Yang S. [1 ]
Fang Q. [2 ]
机构：
[1] Computer School, Wuhan University, Wuhan
[2] Air Force Early Warning Academy, Wuhan
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2016年 / 38卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Big data; Context awareness; Social roles; Urban computing;
D O I：
10.11999/JEIT150700
中图分类号：
学科分类号：
摘要：
With the development of big data and information technology, a better understanding of users' trajectories is of great importance for the design of many applications, such as personalized recommendation, behavioral targeting and computational advertising. In this paper, with the theory of urban computing based on big data, a model of recognizing information veracity of users on the social media networks is proposed. The behavior characteristics of users' trajectories based on context awareness are analyzed. The model of recognizing the truth of social roles is formalized and built. The subjectivity of recognizing users' roles is overcomed. Furthermore, experiments are conducted with large-scale and real-world datasets. The results show that the proposed model offers a powerful ability for recognition of truth social roles. © 2016, Science Press. All right reserved.
引用
收藏
页码：517 / 522
页数：5
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