Journal
SCIENTOMETRICS
Volume 124, Issue 1, Pages 775-782Publisher
SPRINGER
DOI: 10.1007/s11192-020-03468-8
Keywords
Main path analysis; Weight assignment algorithm; Node weight; Weighted degree
Funding
- Center for Research in Econometric Theory and Applications from The Featured Areas Research Center Program within Ministry of Education (MOE) in Taiwan [108L900204]
- Ministry of Science and Technology (MOST), Taiwan [MOST 106-2221-E-011-105-, 108-2221-E-011-053-, 108-3017-F-002-003-]
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In a recent article, Liu et al. (Scientometrics 119(1):379-391, 2019) elaborated a number of issues of the main path analysis (MPA) and provided valuable insight into its application. Among these issues, the authors compared three weight assignment algorithms and suggested that one is preferable in simulating the knowledge diffusion scenario. The authors further stated that one may convert a document's related arc weights assigned by these algorithms into a weight of the document itself by taking the average of its incident and outgoing arc weights, and claimed that a document highly weighted as such may be considered as having a great impact. In this Letter, we address these two issues: (1) choice of weight assignment algorithms, and (2) conversion of arc weights to node weights from a different perspective and provide alternative suggestions, in the hope that we may enrich the discussion for MPA.
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