Three new bibliometric indicators/approaches derived from keyword analysis

Author:

Wang Mengyang,Chai Lihe

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference43 articles.

1. Alvarezhamelin, J. I., Dall’Asta, L., Barrat, A., & Vespignani, A. (2005). K-core decomposition: a tool for the visualization of large scale networks. https://arxiv.org/abs/cs/0504107 .

2. Badar, K., Hite, J. M., & Ashraf, N. (2015). Knowledge network centrality, formal rank and research performance: Evidence for curvilinear and interaction effects. Scientometrics, 105(3), 1553–1576.

3. Bailón-Moreno, R., Jurado-Alameda, E., Ruiz-Baños, R., & Courtial, J. P. (2005). Bibliometric laws: Empirical flaws of fit. Scientometrics, 63(2), 209–229.

4. Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. In International AAAI conference on weblogs and social media; third international AAAI conference on weblogs and social media.

5. Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics, 2008, P10008.

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