caa a22 4500 445350105 CHVBK 20180317142841.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s11192-011-0475-x doi (NATIONALLICENCE)springer-10.1007/s11192-011-0475-x Multi-modal social networks for modeling scientific fields [Elektronische Daten] [Georg Groh, Christoph Fuchs] This paper analyzes whether methods from social network analysis can be adopted for the modeling of scientific fields in order to obtain a better understanding of the respective scientific area. The approach proposed is based on articles published within the respective scientific field and certain types of nodes deduced from these papers, such as authors, journals, conferences and organizations. As a proof of concept, the techniques discussed here are applied to the field of ‘Mobile Social Networking'. For this purpose, a tool was developed to create a large data collection representing the aforementioned field. The paper analyzes various views on the complete network and discusses these on the basis of the data collected on Mobile Social Networking. The authors demonstrate that the analysis of particular subgraphs derived from the data collection allows the identification of important authors as well as separate sub-disciplines such as classic network analysis and sensor networks and also contributes to the classification of the field of ‘Mobile Social Networking' within the greater context of computer science, applied mathematics and social sciences. Based on these results, the authors propose a set of concrete services which could be offered by such a network and which could help the user to deal with the scientific information process. The paper concludes with an outlook upon further possible research topics. Akadémiai Kiadó, Budapest, Hungary, 2011 Social networks nationallicence Mobile Social Networking nationallicence Modeling of a scientific domain nationallicence Co-authorship networks nationallicence Person-organization networks nationallicence Author co-citation networks nationallicence Journal-person networks nationallicence Conference-person networks nationallicence Groh Georg Department of Informatics, TU München, Boltzmannstr. 3, 85478, Garching, Germany aut Fuchs Christoph Department of Informatics, TU München, Boltzmannstr. 3, 85478, Garching, Germany aut Scientometrics Springer Netherlands 89/2(2011-11-01), 569-590 0138-9130 89:2<569 2011 89 11192 https://doi.org/10.1007/s11192-011-0475-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0475-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Groh Georg Department of Informatics, TU München, Boltzmannstr. 3, 85478, Garching, Germany aut NATIONALLICENCE 700 1- Fuchs Christoph Department of Informatics, TU München, Boltzmannstr. 3, 85478, Garching, Germany aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 89/2(2011-11-01), 569-590 0138-9130 89:2<569 2011 89 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer