On managing social data for enabling socially-aware applications and services

  • Authors:
  • Paul Anderson;Nicolas Kourtellis;Joshua Finnis;Adriana Iamnitchi

  • Affiliations:
  • University of South Florida, Tampa, FL;University of South Florida, Tampa, FL;University of South Florida, Tampa, FL;University of South Florida, Tampa, FL

  • Venue:
  • Proceedings of the 3rd Workshop on Social Network Systems
  • Year:
  • 2010

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Abstract

Applications and services that take advantage of social data usually infer social relationships using information produced only within their own context. We propose to combine social information from multiple sources into a directed and weighted social multigraph in order to enable novel socially-aware applications and services. We present GeoS, our early prototype of a geo-social data management service which implements a representative set of social inferences. We demonstrate GeoS' potential for social applications on a collection of social data that combines collocation information and Facebook friendship declarations from 100 students.