caa a22 4500 445350237 CHVBK 20180317142841.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s11192-011-0463-1 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0463-1 Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis [Elektronische Daten] [Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim Rasmussen] Several studies exist which use scientific literature for comparing scientific activities (e.g., productivity, and collaboration). In this study, using co-authorship data over the last 40years, we present the evolutionary dynamics of multi level (i.e., individual, institutional and national) collaboration networks for exploring the emergence of collaborations in the research field of "steel structures”. The collaboration network of scientists in the field has been analyzed using author affiliations extracted from Scopus between 1970 and 2009. We have studied collaboration distribution networks at the micro-, meso- and macro-levels for the 40years. We compared and analyzed a number of properties of these networks (i.e., density, centrality measures, the giant component and clustering coefficient) for presenting a longitudinal analysis and statistical validation of the evolutionary dynamics of "steel structures” collaboration networks. At all levels, the scientific collaborations network structures were central considering the closeness centralization while betweenness and degree centralization were much lower. In general networks density, connectedness, centralization and clustering coefficient were highest in marco-level and decreasing as the network size grow to the lowest in micro-level. We also find that the average distance between countries about two and institutes five and for authors eight meaning that only about eight steps are necessary to get from one randomly chosen author to another. Akadémiai Kiadó, Budapest, Hungary, 2011 Evolutionary collaboration networks nationallicence Dynamic network analysis nationallicence Social network analysis nationallicence Co-authorship analysis nationallicence Multi-levels and cross-time analysis nationallicence Abbasi Alireza Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut Hossain Liaquat Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut Uddin Shahadat Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut Rasmussen Kim School of Civil Engineering, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut Scientometrics Springer Netherlands 89/2(2011-11-01), 687-710 0138-9130 89:2<687 2011 89 11192 https://doi.org/10.1007/s11192-011-0463-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0463-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Abbasi Alireza Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Hossain Liaquat Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Uddin Shahadat Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Rasmussen Kim School of Civil Engineering, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, Australia aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 89/2(2011-11-01), 687-710 0138-9130 89:2<687 2011 89 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer