User association analysis of locales on location based social networks

Josh Jia Ching Ying, Wang Chien Lee, Mao Ye, Ching Yu Chen, Vincent S. Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

In recent years, location-based social networks (LBSNs) have received high attention. While this new breed of social networks is nascent, there is no large-scale analysis conducted to investigate the associations among users in locales of the network. In this paper, we propose four locale based metrics, including Locale Clustering Coefficient, Inward Locale Transitivity, Locale Assortativity Coefficient, and Locale Assortability Coefficient to make association analysis on EveryTrail, a popular LBSN specialized on sharing trips. Based on the analysis result, we observe that people who share more trajectories will get more attention by other users, and people who are popular will connect to the people who are also popular.

Original languageEnglish (US)
Title of host publication3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2011 - Held in Conjunction with the 19th ACM SIGSPATIAL GIS 2011
DOIs
StatePublished - 2011
Event3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2011 - Held in Conjunction with the 19th ACM SIGSPATIAL GIS 2011 - Chicago, IL, United States
Duration: Nov 1 2011Nov 1 2011

Publication series

Name3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2011 - Held in Conjunction with the 19th ACM SIGSPATIAL GIS 2011

Other

Other3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2011 - Held in Conjunction with the 19th ACM SIGSPATIAL GIS 2011
Country/TerritoryUnited States
CityChicago, IL
Period11/1/1111/1/11

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications

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