Query processing in location-based social networks

Ammar Sohail, David Taniar, Andreas Züfle, Park Jeong-Ho

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people's various attributes and characteristics and can provide various Geo-Social (GS) services. In this demonstration, we propose a new type of query called Top-k Geo-Social (TGS) query, which enriches the semantics of the conventional spatial query by introducing a social relevance attribute. Similarly, users formulate their TGS queries and view the results through browser-based client side interface. On the server side, three approaches namely, 1) Social-First 2) Spatial-First and 3) Hybrid are proposed to efficiently process TGS queries.

Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on World Wide Web
EditorsEugene Agichtein, Evgeniy Gabrilovich
Place of PublicationGeneva Switzerland
PublisherInternational World Wide Web Conferences Steering Committee
Number of pages3
ISBN (Electronic)9781450349147
Publication statusPublished - 2017
EventInternational Workshop on Social Computing 2017 - Perth, Australia
Duration: 4 Apr 20174 Apr 2017
Conference number: 1st
https://iwsc2017.csse.uwa.edu.au (Website)


ConferenceInternational Workshop on Social Computing 2017
Abbreviated titleIWSC 2017
Internet address


  • Geographic information systems
  • Geosocial Networking
  • Geosocial query
  • Graph database
  • Social Networks
  • Spatio-Social Applications

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