The stability of co-authorship structures
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DOI: 10.1007/s11192-015-1790-4
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Cited by:
- Jie Zheng & Jianya Gong & Rui Li & Kai Hu & Huayi Wu & Siluo Yang, 2017. "Community evolution analysis based on co-author network: a case study of academic communities of the journal of “Annals of the Association of American Geographers”," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 845-865, November.
- Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
- Fabio Ashtar Telarico & Franc Mali & Aleš Žiberna, 2024. "Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5635-5672, September.
- Matjašič, Miha & Cugmas, Marjan & Žiberna, Aleš, 2021. "blockmodeling: an R package for Generalized Blockmodeling," SocArXiv b8cxp, Center for Open Science.
- Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
- Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
- Zewen Hu & Angela Lin & Peter Willett, 2019. "Identification of research communities in cited and uncited publications using a co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 1-19, January.
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Keywords
Social networks; Scientific collaboration; Network dynamics; Blockmodeling; Rand Index;All these keywords.
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