Combining social information for academic networking

Paper


Heck, Tamara. 2013. "Combining social information for academic networking." CSCW 2013: 2nd ACM Conference on Computer Supported Cooperative Work. San Antonio, United States 23 - 27 Nov 2013 New York. https://doi.org/10.1145/2441776.2441932
Paper/Presentation Title

Combining social information for academic networking

Presentation TypePaper
Authors
AuthorHeck, Tamara
Journal or Proceedings TitleProceedings of the 2nd ACM Conference on Computer Supported Cooperative Work (CSCW 2013)
Number of Pages11
Year2013
Place of PublicationNew York
ISBN9781450313315
Digital Object Identifier (DOI)https://doi.org/10.1145/2441776.2441932
Web Address (URL) of Paperhttps://dl.acm.org/citation.cfm?doid=2441776.2441932
Conference/EventCSCW 2013: 2nd ACM Conference on Computer Supported Cooperative Work
Event Details
CSCW 2013: 2nd ACM Conference on Computer Supported Cooperative Work
Event Date
23 to end of 27 Nov 2013
Event Location
San Antonio, United States
Abstract

Researchers in almost all scientific disciplines rely heavily on the collaboration of their colleagues. Throughout his or her career, any researcher will build up a social academic network consisting of people with similar scientific interests. A recommendation system could facilitate the process of identifying and finding the right colleagues, as well as pointing out possible new collaborators. As a researcher's reputation is of great importance, the social information gleaned from citations and reference data can be used to cluster similar researchers. Web services, such as social bookmarking systems, provide new functionalities and a greater variety of social information - if exploited correctly, these could lead to better recommendations. The following chapter describes, by way of example, one approach to recommendation for social networking in academia. Copyright 2013 ACM.

Keywordsauthor co-citation; author recommendation; bibliographic coupling; collaborative filtering; folksonomy; scientific collaboration; social information; author recommendation; bibliographic couplings; cocitation; folksonomies; scientific collaboration; social information; digital computers and systems; computer software, data handling and applications; computer applications; engineering research; impact of technology on society; information sources and analysis
ANZSRC Field of Research 2020460806. Human-computer interaction
Byline AffiliationsHeinrich Heine University Düsseldorf, Germany
Institution of OriginUniversity of Southern Queensland
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