Participants in our research group

    本课题组参与人员：

尹凌

Keywords

    关键词:

Social Network; Power Law; Location; Social Media

Description

    简介:

With the development of information technologies, Social Media platforms have become popular and accumulated numerous data about individuals’ behavior. It offers a promising opportunity of discovering usable knowledge about the individuals’ movement behavior, which fosters novel applications and services. In this paper, in order to study the relations between communities and location clusters, we propose the index of location entropy to measure the degree of dispersion of the locations in each community, and the index of community entropy to measure the degree of dispersion of the communities in each location cluster. At last, we analyze users’ trajectories and define four Trajectory Patterns. An algorithm is also proposed to extract those patterns from microblog data. We implement the algorithm and find some interesting and useful results for the intelligent recommender systems.

Publication

    论文:

Ling Yin, Shih-Lung Shaw, 2015. Exploring space-time paths in physical and social closeness spaces: a space-time GIS approach. International Journal of Geographical Information Science, 29(5): 742-761. (SCI)

Chao Li, Zhongying Zhao, Jun Luo, Ling Yin, Qiming Zhou. 2014. A spatial-temporal analysis of users’ geographical patterns in social media: A case study on microblogs. Database Systems for Advanced Applications. Springer Berlin Heidelberg, 296–307. (EI)

Chao Li, Zhongying Zhao, Shuguang Liu, Ling Yin, Jun Luo. 2012. Relationships between geographical cluster and cyberspace community: A case study on microblog. In Proceedings of the 2012 Geoinformatics. IEEE, GRSS, Piscataway, NJ, USA, 1–5. (EI)

 

The distributions of the location entropies in three scales of social networks

Cooperations

    合作单位：

	Department of Geography, University of Tennessee, Knoxville 美国田纳西大学