Projects / Programmes
Social Influence in Dynamic Networks (Slovene)
Code |
Science |
Field |
Subfield |
5.03.00 |
Social sciences |
Sociology |
|
Code |
Science |
Field |
5.04 |
Social Sciences |
Sociology |
Researchers (5)
Organisations (1)
Significance for science
Our research has contributed to the development of new concepts, methodologies, methods and models for the analysis of social networks of scientists in time. The dynamic analysis of co-authorship networks contributes to the understanding of the structure and the dynamics of general scientific knowledge (e.g., the trends of scientific collaboration in Slovenian science in the last few decades) and to expert decision-making in Slovenian R&D policy (e.g., the influence of co-authorship networks on scientific productivity and scientific impact). The results of our research are useful for both analytical levels. In the context of our research, there have been developed and used very complex concepts, methods and models for dynamic social network analysis which added new insights (knowledge) to scientometrics, sociology of science, and social network analysis. With the cooperation between scientists of different disciplinary background, the results of our research produced a new interdisciplinary knowledge about the various sociological and cognitive factors leading to different types of scientific collaborations.
Significance for the country
Our research deals with scientific collaboration in time in a broader sense and scientific co-authorship in a narrow sense, and addresses very important issues how to organize R&D policy and R&D strategy in the national context. The results of our theoretical and empirical investigation uncovered different types of structures in co-authorship networks of scientists and impacts on creaction of new co-authorship ties accross different scientific fields and disciplines in Slovenia. These types of structures in social networks of scientists can have a strong impact on the “profile” of scientific community in a small country, as the case in Slovenia (i.e, scientific productivity, scientific impact, etc.). It is expected that national R&D policy will encourage an R&D evaluation system that directs researchers to scientific excellence, to internationalization, to fulfilling of socio-economic goals of scientific results, etc. Circumstances that are connected with the use of different R&D policy (evaluation) instruments are especially in small scientific communities very complex. All actors involved in this evaluation process always have doubts about the objectivity, transparency, etc. From this perspective, it is important that the design of an appropriate R&D policy also relies on reliable and valid measurements and explanations of the co-authorship networks in different sectors of science (within scientific disciplines, between the Slovenian scientists and the foreign scientists, between scientists coming from academic sphere and scientists coming from business-enterprise sector, etc.).
Most important scientific results
Annual report
2012,
2013,
final report,
complete report on dLib.si
Most important socioeconomically and culturally relevant results
Annual report
2012,
2013,
final report,
complete report on dLib.si