Analysis of the dynamics and influence of the research work of Prof. Liu Zeyuan in China featuring a new hybrid approach combining community detection with topic tracking

Jean-Charles Lamirel (), Younes Gueddari (), Yuqi Wang (), Pascal Cuxac (), Anthony Perez () and Nicolas Dugué ()
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Jean-Charles Lamirel: SYNALP Team-LORIA, INRIA Nancy-Grand Est
Younes Gueddari: Ecole Nationale Supérieure Des Mines de Saint Etienne
Yuqi Wang: WISELAB, Dalian University of Technology
Pascal Cuxac: INIST-CNRS
Anthony Perez: INIST-CNRS
Nicolas Dugué: LIFO, Université D’Orléans

Scientometrics, 2021, vol. 126, issue 7, No 44, 6273-6300

Abstract: Abstract The influence of authors is mostly based on their capacity to form specific self-contained and/or active research communities or topics while also inspiring fruitful spin-off research derived from those communities or topics. Accurately estimating author influence and its indirect effect in inspiring external research creativity must thus be based on very precise community roles as well as topic-role analysis on citing material. In this paper we thus implement, compare, and combine two different kinds of knowledge mapping approaches used to track authors’ influence over time—a recent topic-based mapping approach and an original hybrid community-based mapping approach. The experimental context of our study is the analysis of the dynamics and of the influence of the research of Prof. Liu Zeyuan, the most important contributor in the field of Science of Science in China. This analysis focuses on papers citing Professor Liu Zeyuan's research and highlights the full extent of his creative thinking.

Keywords: Knowledge mapping; Citation analysis; Clustering; Topic tracking; Community detection (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11192-021-04010-0

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