The Community for Technology Leaders
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2016)
San Francisco, CA, USA
Aug. 18, 2016 to Aug. 21, 2016
ISBN: 978-1-5090-2847-4
pp: 613-620
Martin Atzmueller , Research Center for Information System Design, Chair of Knowledge and Data Engineering, University of Kassel, Germany
Tom Hanika , Research Center for Information System Design, Chair of Knowledge and Data Engineering, University of Kassel, Germany
Gerd Stumme , Research Center for Information System Design, Chair of Knowledge and Data Engineering, University of Kassel, Germany
Richard Schaller , AG Digital Humanities, Computer Science, University of Erlangen-Nuremberg, Germany
Bernd Ludwig , I:IMSK, University of Regensburg, Germany
ABSTRACT
This paper focuses on the analysis of socio-spatial data, i. e., user-performance relations at a distributed event. We consider the data as a bimodal network (i. e., model it as a bipartite graph), and investigate its structural characteristics towards a social network. We focus on plans of the participants (expressed by preferences) and their fulfilment, and propose measures for matching preference and reality. We specifically analyse behavioural patterns w.r.t. distinct user and performance groups. We utilise real-world data collected at the Lange Nacht der Musik (Long Night of Music) 2013 in Munich.
INDEX TERMS
Social network services, Bipartite graph, Cultural differences, Urban areas, Analytical models, Planning, Global Positioning System
CITATION
Martin Atzmueller, Tom Hanika, Gerd Stumme, Richard Schaller, Bernd Ludwig, "Social event network analysis: Structure, preferences, and reality", 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. 00, no. , pp. 613-620, 2016, doi:10.1109/ASONAM.2016.7752299
84 ms
(Ver 3.3 (11022016))