Same places, same things, same people? Mining user similarity on social media

Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, Erel Uziel

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

59 Scopus citations

Abstract

In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three categories: people, things, and places. Lists of similar people returned by the nine sources are found to be highly different from each other as well as from the list of people the user is familiar with, suggesting that aggregation of sources may be valuable. Evaluation of the sources and their aggregates points at their usefulness across different scenarios, such as information discovery and expertise location, and also highlights sources and aggregates that are particularly valuable for inferring user similarity.

Original languageEnglish
Title of host publication2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010
Pages41-50
Number of pages10
DOIs
StatePublished - 20 Apr 2010
Externally publishedYes
Event2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010 - Savannah, GA, United States
Duration: 6 Feb 201010 Feb 2010

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010
Country/TerritoryUnited States
CitySavannah, GA
Period6/02/1010/02/10

Keywords

  • Social media
  • Social networks
  • Social software
  • User similarity

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