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Social-Spatial Group Queries with Keywords

Published: 26 October 2021 Publication History

Abstract

Social networks with location enabling technologies, also known as geo-social networks, allow users to share their location-specific activities and preferences through check-ins. A user in such a geo-social network can be attributed to an associated location (spatial), her preferences as keywords (textual), and the connectivity (social) with her friends. The fusion of social, spatial, and textual data of a large number of users in these networks provide an interesting insight for finding meaningful geo-social groups of users supporting many real-life applications, including activity planning and recommendation systems. In this article, we introduce a novel query, namely, Top-k Flexible Socio-Spatial Keyword-aware Group Query (SSKGQ), which finds the best k groups of varying sizes around different points of interest (POIs), where the groups are ranked based on the social and textual cohesiveness among members and spatial closeness with the corresponding POI and the number of members in the group. We develop an efficient approach to solve the SSKGQ problem based on our theoretical upper bounds on distance, social connectivity, and textual similarity. We prove that the SSKGQ problem is NP-Hard and provide an approximate solution based on our derived relaxed bounds, which run much faster than the exact approach by sacrificing the group quality slightly. Our extensive experiments on real data sets show the effectiveness of our approaches in different real-life settings.

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Cited By

View all
  • (2023)Continuous Geo-Social Group Monitoring in Dynamic LBSNsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.321884435:8(7815-7828)Online publication date: 1-Aug-2023
  • (2023)Spatio-Textual Group Skyline QueryDatabase Systems for Advanced Applications. DASFAA 2023 International Workshops10.1007/978-3-031-35415-1_3(34-50)Online publication date: 17-Apr-2023
  • (2021)Query Processing of Geosocial Data in Location-Based Social NetworksISPRS International Journal of Geo-Information10.3390/ijgi1101001911:1(19)Online publication date: 30-Dec-2021

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Information

Published In

cover image ACM Transactions on Spatial Algorithms and Systems
ACM Transactions on Spatial Algorithms and Systems  Volume 8, Issue 1
March 2022
184 pages
ISSN:2374-0353
EISSN:2374-0361
DOI:10.1145/3488003
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2021
Accepted: 01 July 2021
Revised: 01 April 2021
Received: 01 July 2020
Published in TSAS Volume 8, Issue 1

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Author Tags

  1. Geo-social networks
  2. spatial database
  3. group query
  4. group query with keywords
  5. spatial networks with keywords

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View all
  • (2023)Continuous Geo-Social Group Monitoring in Dynamic LBSNsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.321884435:8(7815-7828)Online publication date: 1-Aug-2023
  • (2023)Spatio-Textual Group Skyline QueryDatabase Systems for Advanced Applications. DASFAA 2023 International Workshops10.1007/978-3-031-35415-1_3(34-50)Online publication date: 17-Apr-2023
  • (2021)Query Processing of Geosocial Data in Location-Based Social NetworksISPRS International Journal of Geo-Information10.3390/ijgi1101001911:1(19)Online publication date: 30-Dec-2021

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