Document Type

Conference Paper

Department/Unit

Department of Geography

Title

A spatial-temporal analysis of users’ geographical patterns in social media: A case study on microblogs

Language

English

Abstract

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. © 2014 Springer-Verlag Berlin Heidelberg.

Publication Date

2014

Source Publication Title

Database Systems for Advanced Applications: 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM³, UnCrowd; Bali, Indonesia, April 21--24, 2014, Revised Selected Papers

Start Page

296

End Page

307

Conference Location

Bali, Indonesia

Publisher

Springer Berlin Heidelberg

DOI

10.1007/978-3-662-43984-5_22

ISBN (print)

9783662439838

ISBN (electronic)

9783662439845

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