Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing
This paper is dedicated to the research of the dynamics of development and interactions among several scientific communities in the field of fuzzy logic and soft computing. This analysis was performed with the help of the following characteristics: conferences participants’ renewal, the level of cooperation in scientific communities, participation of one community’s key players in activities of the other ones, comparative number of most active participants in each community, uniformity of key players’ participation in different conferences.
KeywordsScientific communities Key participants of communities Interaction between scientific communities
The financial support from the Government of the Russian Federation within the framework of the implementation of the 5-100 Programme Roadmap of the National Research University Higher School of Economics is acknowledged.
- 1.Belák V, Karnstedt M, Hayes C (2011) Life-cycles and mutual effects of scientific communities. Procedia—Procedia Soc Behav Sci 00:36–47Google Scholar
- 2.Belák V, Hayes C (2015) The risks of introspection: a quantitative analysis of influence between scientific communities. In: Proceedings of the 28th international florida artificial intelligence research society conference, pp 8–13Google Scholar
- 3.Belief functions and applications society. http://www.bfasociety.org/
- 4.Biryukov M, Dong C (2010) Analysis of computer science communities based on DBLP. In: Research and advance technologies for digital library. Springer, Berlin, pp 228–235Google Scholar
- 5.Conference on soft methods in probability and statistics. http://smps2014.ibspan.waw.pl
- 6.North American fuzzy information processing society. http://nafips.ece.ualberta.ca
- 8.The European society for fuzzy logic and technology. http://www.eusflat.org/
- 9.The society for imprecise probability: theories and applications. http://www.sipta.org
- 10.Walter G, Jansen C, Augustin T (2015) Updated network analysis of the imprecise probability community based on ISIPTA electronic proceedings. In: Proceedings of the 9th ISIPTA, Pescara Italy, p 351Google Scholar