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

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

doi:10.1145/1718918.1718928

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 proceeding › Conference contribution › peer-review

62 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 language	English
Title of host publication	2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010
Pages	41-50
Number of pages	10
DOIs	https://doi.org/10.1145/1718918.1718928
State	Published - 20 Apr 2010
Externally published	Yes
Event	2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010 - Savannah, GA, United States Duration: 6 Feb 2010 → 10 Feb 2010

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference	2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010
Country/Territory	United States
City	Savannah, GA
Period	6/02/10 → 10/02/10

Keywords

Social media
Social networks
Social software
User similarity

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Networks and Communications

Access to Document

10.1145/1718918.1718928

Cite this

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title = "Same places, same things, same people?: Mining user similarity on social media",

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.",

keywords = "Social media, Social networks, Social software, User similarity",

author = "Ido Guy and Michal Jacovi and Adam Perer and Inbal Ronen and Erel Uziel",

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Guy, I, Jacovi, M, Perer, A, Ronen, I & Uziel, E 2010, Same places, same things, same people? Mining user similarity on social media. in 2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, pp. 41-50, 2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010, Savannah, GA, United States, 6/02/10. https://doi.org/10.1145/1718918.1718928

Same places, same things, same people? Mining user similarity on social media. / Guy, Ido; Jacovi, Michal; Perer, Adam et al.
2010 ACM Conference on Computer Supported Cooperative Work, CSCW 2010. 2010. p. 41-50 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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