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A new method for key author analysis in research professionals’ collaboration network
, S. Tripathi
Published in Springer Verlag
2017
Volume: 567
   
Pages: 133 - 143
Abstract
In research community, who are the most prominent or key authors in the research community is the major discussion or research issue. Different types of centrality measures and citation based indices are developed for finding key author in community. But main issues is what are the real contribution of an individual or group and their impact in research community. To find contribution of individual researcher, we use normalized citation count and geometric series to distribute the share to individual author in multi-authored paper. For evaluating the scientific impact of individual researcher, we use eigenvector centrality. In eigenvector centrality first, we set the initial amount of influence of each author to total normalized citation score and the collaboration weight is correlation coefficient value. © Springer Nature Singapore Pte Ltd. 2017.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer Verlag
ISSN21945357