Dresden 2014 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 6: Poster Session

SOE 6.13: Poster

Monday, March 31, 2014, 18:00–20:00, P2

Co-authorship patterns on the scale of network motifs — •David Fabian Klosik¹, Marc-Thorsten Hütt², and Stefan Bornholdt¹ — ¹Institut für Theoretische Physik, Universität Bremen, Hochschulring 18, 28359 Bremen, Germany — ²School of Engineering and Science, Jacobs University Bremen, Campusring 1, 28759 Bremen, Germany

Ever since the seminal philosophical work of Thomas S. Kuhn it is widely accepted that the institutional process of knowledge production, i.e. science, cannot be fully described in purely logical, content-related terms, but has a significant social aspect to it. The recently growing accessibility to aggregated citation information in form of electronic datasets might allow for a quantitative assessment of the social influences. Following the work of Krumov et al. [1] we evaluate network motifs in a co-authorship network constructed from a dataset provided by the American Physical Society, in order to investigate whether there is a correlation between collaboration patterns on the motif scale and the impact of the corresponding papers. We find that care has to be taken when applying motif-based measures to co-authorship networks.

[1] L. Krumov, C. Fretter, M. Müller-Hannemann, K. Weihe, and M.-T. Hütt, Motifs in co-authorship networks and their relation to the impact of scientific publications, EPJ B (84), 535 (2011)