Discovering opinion leaders for medical topics using news articles
Journal of Biomedical SemanticsPublished 1 January 2012Open access
Siddhartha Jonnalagadda, Ryan G. Peeler, Philip Topham
Citations20
SJR quartileQ2
SJR score0.49
SNIP0.97
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TL;DR
Betweenness, Closeness and Degree centrality measures were shown to supplement frequency counts in the task of finding subject experts and opinion leaders missed in scientific publication network analysis could be retrieved from news articles.
Abstract
The analysis of the network of subject experts with media presence revealed that an opinion leader might have fewer mentions in the news articles, but a high network centrality measure and vice-versa. Betweenness, Closeness and Degree centrality measures were shown to supplement frequency counts in the task of finding subject experts. Further, opinion leaders missed in scientific publication network analysis could be retrieved from news articles.
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
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