Document Detail


Characterizing interdisciplinarity of researchers and research topics using web search engines.
MedLine Citation:
PMID:  22719935     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Researchers' networks have been subject to active modeling and analysis. Earlier literature mostly focused on citation or co-authorship networks reconstructed from annotated scientific publication databases, which have several limitations. Recently, general-purpose web search engines have also been utilized to collect information about social networks. Here we reconstructed, using web search engines, a network representing the relatedness of researchers to their peers as well as to various research topics. Relatedness between researchers and research topics was characterized by visibility boost-increase of a researcher's visibility by focusing on a particular topic. It was observed that researchers who had high visibility boosts by the same research topic tended to be close to each other in their network. We calculated correlations between visibility boosts by research topics and researchers' interdisciplinarity at the individual level (diversity of topics related to the researcher) and at the social level (his/her centrality in the researchers' network). We found that visibility boosts by certain research topics were positively correlated with researchers' individual-level interdisciplinarity despite their negative correlations with the general popularity of researchers. It was also found that visibility boosts by network-related topics had positive correlations with researchers' social-level interdisciplinarity. Research topics' correlations with researchers' individual- and social-level interdisciplinarities were found to be nearly independent from each other. These findings suggest that the notion of "interdisciplinarity" of a researcher should be understood as a multi-dimensional concept that should be evaluated using multiple assessment means.
Authors:
Hiroki Sayama; Jin Akaishi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-06-13
Journal Detail:
Title:  PloS one     Volume:  7     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2012  
Date Detail:
Created Date:  2012-06-21     Completed Date:  2012-12-13     Revised Date:  2013-07-12    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e38747     Citation Subset:  IM    
Affiliation:
Collective Dynamics of Complex Systems Research Group, Binghamton University, Binghamton, New York, United States of America.
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MeSH Terms
Descriptor/Qualifier:
Information Storage and Retrieval*
Internet*
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