Spatio-temporal small worlds for decentralized information retrieval in social networking

Georg Groh, Florian Straub, Benjamin Koster

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

2 Scopus citations

Abstract

We discuss foundations and options for alternative, agent-based information retrieval (IR) approaches in Social Networking (SN). In addition to usual semantic contexts, these approaches make use of long-term social and spatio-temporal contexts according to Human IR heuristics. Using a large Twitter dataset, we investigate foundations for these approaches and especially the question in how far spatio-temporal contexts can act as a conceptual bracket implicating social and semantic cohesion, giving rise to the concept of Spatio-Temporal Small Worlds.

Original languageEnglish
Title of host publication20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012
Pages418-421
Number of pages4
DOIs
StatePublished - 2012
Event20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012 - Redondo Beach, CA, United States
Duration: 6 Nov 20129 Nov 2012

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012
Country/TerritoryUnited States
CityRedondo Beach, CA
Period6/11/129/11/12

Keywords

  • applied computer science
  • collaborative IR
  • geo social networks
  • geographic IR
  • human IR
  • social IR
  • spatial context

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