1 |
Zhao, D. & Strotmann, A. (2014). The knowledge base and research front of information science 2006-2010: an author cocitation and bibliographic coupling analysis. Journal of the Association for Information Science and Technology, 65(5), 995-1006.
DOI
|
2 |
Luong, N. T., Nguyen, T. T., Jung, J. J., & Hwang, D. (2015). Discovering co-author relationship in bibliographic data using similarity measures and random walk model. In Asian Conference on Intelligent Information and Database Systems. Springer, Cham, 127-136.
|
3 |
Nam, E. & Park, J. (2014). Factors Influencing Research Collaboration in the Field of Informetrics. Journal of the Korean Society for Library and Information Science, 31(4), 201-227.
|
4 |
Newman, M. E. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, 101(suppl 1), 5200-5205.
DOI
|
5 |
Uddin, S., Hossain, L., Abbasi, A., & Rasmussen, K. (2012). Trend and efficiency analysis of co-authorship network. Scientometrics, 90(2), 687-699.
DOI
|
6 |
Yan, E. & Ding, Y. (2009). Applying centrality measures to impact analysis: a coauthorship network analysis. Journal of the American Society for Information Science and Technology, 60(10), 2107-2118.
DOI
|
7 |
Zhang, C., Bu, Y., Ding, Y., & Xu, J. (2018). Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. Journal of the Association for Information Science and Technology, 69(1), 72-86.
DOI
|
8 |
Zhao, D. & Strotmann, A. (2008). Author bibliographic coupling: another approach to citation-based author knowledge network analysis. Proceedings of the American Society for Information Science and Technology, 45(1), 1-10.
|
9 |
Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361-362.
|
10 |
Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.
|
11 |
Feng, S. & Kirkley, A. (2020). Mixing patterns in interdisciplinary co-authorship networks at multiple scales. Scientific Reports, 10(1), 1-11.
DOI
|
12 |
Glanzel, W. & Schubert, A. (2004). Analysing scientific networks through co-authorship. In Moed, H. F., Glanzel, W., & Schmoch, U. eds. Handbook of Quantitative Science and Technology Research. Springer, Dordrecht, 257-276.
|
13 |
Huang, M. H. & Chang, Y. W. (2011). A study of interdisciplinarity in information science: using direct citation and co-authorship analysis. Journal of Information Science, 37(4), 369-378.
DOI
|
14 |
Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10-25.
DOI
|
15 |
Khokhar, D. (2015). Gephi Cookbook. Packt Publishing Ltd.
|
16 |
Liu, P. & Xia, H. (2015). Structure and evolution of co-authorship network in an interdisciplinary research field. Scientometrics, 103(1), 101-134.
DOI
|
17 |
Kim, D., Kim, K., & Zhu, Y. (2021). A bibliometric analysis of the major Korean journals indexed in 2020 Google Scholar metrics. Korean Society for Information Management, 38(1), 53-69.
|
18 |
Li, F., Li, M., Guan, P., Ma, S., & Cui, L. (2015). Mapping publication trends and identifying hot spots of research on Internet health information seeking behavior: a quantitative and co-word biclustering analysis. Journal of Medical Internet Research, 17(3), e3326.
|
19 |
Lima, L. H. C., Laender, A. H., Moro, M. M., & De Oliveira, J. P. M. (2020). An analysis of the collaboration network of the international conference on conceptual modeling at the age of 40. Data & Knowledge Engineering, 130, 101866.
|
20 |
Liu, X., Bollen, J., Nelson, M. L., & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information Processing & Management, 41(6), 1462-1480.
DOI
|