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Harvesting with SONAR: the value of aggregating social network information
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Online Social Networks table of contents
Pages 1017-1026  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Ido Guy  IBM Haifa Research Lab, Haifa, Israel
Michal Jacovi  IBM Haifa Research Lab, Haifa, Israel
Elad Shahar  IBM Haifa Research Lab, Haifa, Israel
Noga Meshulam  IBM Haifa Research Lab, Haifa, Israel
Vladimir Soroka  IBM Haifa Research Lab, Haifa, Israel
Stephen Farrell  IBM Almaden Research Center, San Jose, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Web 2.0 gives people a substantial role in content and metadata creation. New interpersonal connections are formed and existing connections become evident through Web 2.0 services. 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. 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ido Guy: colleagues
Michal Jacovi: colleagues
Elad Shahar: colleagues
Noga Meshulam: colleagues
Vladimir Soroka: colleagues
Stephen Farrell: colleagues