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  1. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN '10)
  2. Querying geo-social data by bridging spatial networks and social networks
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Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection
Towards location-based social networking services
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Querying geo-social data by bridging spatial networks and social networks
Spatio-temporal proximity and social distance: a confirmation framework for social reporting
Mining user similarity from semantic trajectories
Using location based social networks for quality-aware participatory data transfer
Anonymizing user location and profile information for privacy-aware mobile services
Activity identification from GPS trajectories using spatial temporal POIs' attractiveness

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Querying geo-social data by bridging spatial networks and social networks

Content Provider ACM Digital Library
Author Kanza, Yaron Doytsher, Yerach Galon, Ben
Abstract Recording the location of people using location-acquisition technologies, such as GPS, allows generating life patterns, which associate people to places they frequently visit. Considering life patterns as edges that connect users of a social network to geographical entities on a spatial network, enriches the social network, providing an integrated socio-spatial graph. Queries over such graph extract information on users, in correspondence with their location history, and extract information on geographical entities in correspondence with users who frequently visit these entities. In this paper we present the concept of a socio-spatial graph that is based on life patterns, where users are connected to geographical entities using life-pattern edges. We provide a set of operators that form a query language suitable for the integrated data. We consider two implementations of a socio-spatial graph storage---one implementation uses a relational database system as the underline data storage, and the other employs a graph database system. The two implementations are compared, experimentally, for various queries and data. An important contribution of this work is in illustrating the usefulness and the feasibility of maintaining and querying integrated socio-spatial graphs.
Starting Page 39
Ending Page 46
Page Count 8
File Format PDF
ISBN 9781450304344
DOI 10.1145/1867699.1867707
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Spatio-social applications Social networks Graph database Geosocial networking Geographic information systems Spatial query language
Content Type Text
Resource Type Article
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