Harvesting with SONAR - The value of aggregating social network information

Ido Guy, Michal Jacovi, Elad Shahar, Noga Meshulam, Vladimir Soroka, Stephen Farrell

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

76 Scopus citations

Abstract

Web 2.0 gives people a substantial role in content and metadata creation. New interpersonal connections are formed and existing connections become evident. This newly created social network (SN) spans across multiple services and aggregating it could bring great value. In this work we present SONAR, an API for gathering and sharing SN information. We give a detailed description of SONAR, demonstrate its potential value through user scenarios, and show results from experiments we conducted with a SONAR-based social networking application within our organizational intranet. These suggest that aggregating SN information across diverse data sources enriches the SN picture and makes it more complete and useful for the end user.

Original languageEnglish
Title of host publication26th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings, CHI 2008
Pages1017-1026
Number of pages10
DOIs
StatePublished - 22 Dec 2008
Externally publishedYes
Event26th Annual CHI Conference on Human Factors in Computing Systems, CHI 2008 - Florence, Italy
Duration: 5 Apr 200810 Apr 2008

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference26th Annual CHI Conference on Human Factors in Computing Systems, CHI 2008
Country/TerritoryItaly
CityFlorence
Period5/04/0810/04/08

Keywords

  • Aggregation
  • SN
  • SNA
  • Social network analysis
  • Social networks

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