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Social event network analysis: Structure, preferences, and reality
Ist Teil von
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016, p.613-620
Ort / Verlag
IEEE
Erscheinungsjahr
2016
Quelle
ACM Digital Library Complete
Beschreibungen/Notizen
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.