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Geographical and Temporal Similarity Measurement on Location-based Social Networks
Chongqing University of Posts and Telecommunications / College of Computer Science and Technology.
Chongqing University of Posts and Telecommunications / College of Computer Science and Technology.
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Geoinformatics. (Geoinformatics)ORCID iD: 0000-0003-1164-8403
2013 (English)In: Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems / [ed] Chi-Yin Chow and Shashi Shekhar, New York, NY, USA: Association for Computing Machinery (ACM), 2013, 30-34 p.Conference paper, Published paper (Refereed)
Abstract [en]

Using "check-in" data gathered from location-based social networks, this paper proposes to measure the similarity of users by considering the geographical and the temporal aspect of their geographical and temporal aspects of their "check-ins". Temporal neighborhood is added to support the time dimension on the basis of the traditional DBSCAN clustering algorithm, which determines the similarity among users at different scales using the classical Vector Space Model (VSM) with vectors composed of the amount of visits in different cluster area. The spatio-temporal similarity of the user behaviors are obtained through overlapping the different weighted user similarity values. The experimental results show that the proposed approach is effective in measuring user similarity in location-based social networks.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2013. 30-34 p.
Keyword [en]
Cluster, location-based social networks, temporal scale, user similarity
National Category
Computer Science
Research subject
Geodesy and Geoinformatics; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-164166DOI: 10.1145/2534190.2534192ISBN: 978-1-4503-2531-8 (print)OAI: oai:DiVA.org:kth-164166DiVA: diva2:804946
Conference
MobiGIS'13 Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Note

QC 201505021

Available from: 2015-04-14 Created: 2015-04-14 Last updated: 2015-05-21Bibliographically approved

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fulltext(880 kB)38 downloads
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