Visual Comparison Analysis of the Competitiveness of Scientific Research Groups

被引：0
|
作者：
Wang Y. [1 ,2 ]
Yu M. [1 ,2 ]
Shan G. [1 ]
Chen K. [1 ,2 ]
An Y. [1 ,2 ]
Lu Z. [1 ]
机构：
[1] Advanced Interactive Technology and Application Laboratory, Computer Network Information Center, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2020年 / 32卷 / 04期
关键词：
Co-author network; Publication data; Research competitiveness; Visual analysis;
D O I：
10.3724/SP.J.1089.2020.18174
中图分类号：
学科分类号：
摘要：
The explosive growth of academic publication data makes it very difficult to study research groups. How to evaluate and compare the competitiveness of research teams, and identify core groups is becoming more and more important. By leveraging the publication data, this paper proposes a hierarchical index system for depicting the competitiveness of research groups. We introduce an enhanced clique percolation method (CPM) by using the clique-strength to find research groups in co-author network. We design and implement a visual comparison approach to support interactive exploration of the competitiveness of different research groups in a field. Experiments and expert reviews on the case in the field of astronomy demonstrate the usefulness and effectiveness of our approach. © 2020, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
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收藏
页码：542 / 550
页数：8
相关论文
共 18 条
  • [1] Wang Yanxi, Analysis and evaluation on disciplinary team competitiveness: an empirical study, (2011)
  • [2] Keathley-Herring H, van Aken E, Gonzalez-Aleu F, Et al., Assessing the maturity of a research area: bibliometric review and proposed framework, Scientometrics, 109, 2, pp. 927-951, (2016)
  • [3] Gleicher M, Albers D, Walker R, Et al., Visual comparison for information visualization, Information Visualization, 10, 4, pp. 289-309, (2011)
  • [4] Gleicher M., Considerations for visualizing comparison, IEEE Transactions on Visualization and Computer Graphics, 24, 1, pp. 413-423, (2018)
  • [5] Henry N, Fekete J D, McGuffin M J., NodeTrix: a hybrid visualization of social networks, IEEE Transactions on Visualization and Computer Graphics, 13, 6, pp. 1302-1309, (2007)
  • [6] Chinchilla-Rodriguez Z, Vargas-Quesada B, Hassan-Montero Y, Et al., New approach to the visualization of international scientific collaboration, Information Visualization, 9, 4, pp. 277-287, (2010)
  • [7] Vuillemot R, Perin C., Investigating the direct manipulation of ranking tables for time navigation, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 2703-2706, (2015)
  • [8] Perin C, Vuillemot R, Fekete J D., A table!: improving temporal navigation in soccer ranking tables, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 887-896, (2014)
  • [9] Gorg C, Liu Z C, Kihm J, Et al., Combining computational analyses and interactive visualization for document exploration and sensemaking in jigsaw, IEEE Transactions on Visualization and Computer Graphics, 19, 10, pp. 1646-1663, (2013)
  • [10] Newman M E J., The structure of scientific collaboration networks, Proceedings of the National Academy of Sciences, 98, 2, pp. 404-409, (2001)
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