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The Researcher Social Network: a social network based on metadata of scientific publications

The Researcher Social Network: a social network based on metadata of scientific publications
The Researcher Social Network: a social network based on metadata of scientific publications
Scientific journals can capture a scholar’s research career. A researcher’s publication data often reflects his/her research interests and their social relations. It is demonstrated that scientist collaboration networks can be constructed based on co-authorship data from journal papers. The problem with such a network is that researchers are limited within their professional social network. This work proposes the idea of constructing a researcher’s social network based on data harvested from metadata of scientific publications and personal online profiles. We hypothesize that data, such as, publication keywords, personal interests, the themes of the conferences where papers are published, and co-authors of the papers, either directly or indirectly represent the authors’ research interests, and by measuring the similarity between these data we are able to construct a researcher social network. Based on the four types of data mentioned above, social network graphs were plotted, studied and analyzed. These graphs were then evaluated by the researchers themselves by giving ratings. Based on this evaluation, we estimated the weight for each type of data, in order to blend all data together to construct one ideal researcher’s social network. Interestingly, our results showed that a graph based on publication’s keywords were more representative than the one based on publication’s co-authorship. The findings from the evaluation were used to propose a dynamic social network data model.
social network, scientist collaboration network
Yang, Yang
4f250291-4405-49b3-a662-eb9810e00415
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Yang, Yang
4f250291-4405-49b3-a662-eb9810e00415
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b

Yang, Yang, Au Yeung, Ching Man, Weal, Mark J. and Davis, Hugh (2009) The Researcher Social Network: a social network based on metadata of scientific publications. Proceedings of WebSci'09: Society On-Line, , Athens, Greece. 18 - 20 Mar 2009. 5 pp .

Record type: Conference or Workshop Item (Poster)

Abstract

Scientific journals can capture a scholar’s research career. A researcher’s publication data often reflects his/her research interests and their social relations. It is demonstrated that scientist collaboration networks can be constructed based on co-authorship data from journal papers. The problem with such a network is that researchers are limited within their professional social network. This work proposes the idea of constructing a researcher’s social network based on data harvested from metadata of scientific publications and personal online profiles. We hypothesize that data, such as, publication keywords, personal interests, the themes of the conferences where papers are published, and co-authors of the papers, either directly or indirectly represent the authors’ research interests, and by measuring the similarity between these data we are able to construct a researcher social network. Based on the four types of data mentioned above, social network graphs were plotted, studied and analyzed. These graphs were then evaluated by the researchers themselves by giving ratings. Based on this evaluation, we estimated the weight for each type of data, in order to blend all data together to construct one ideal researcher’s social network. Interestingly, our results showed that a graph based on publication’s keywords were more representative than the one based on publication’s co-authorship. The findings from the evaluation were used to propose a dynamic social network data model.

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More information

Published date: 17 March 2009
Venue - Dates: Proceedings of WebSci'09: Society On-Line, , Athens, Greece, 2009-03-18 - 2009-03-20
Keywords: social network, scientist collaboration network
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267156
URI: http://eprints.soton.ac.uk/id/eprint/267156
PURE UUID: 675c28fa-391f-40fe-8a9c-d53e396cdc34
ORCID for Mark J. Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for Hugh Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 03 Mar 2009 12:43
Last modified: 15 Mar 2024 02:46

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Contributors

Author: Yang Yang
Author: Ching Man Au Yeung
Author: Mark J. Weal ORCID iD
Author: Hugh Davis ORCID iD

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