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Formation and temporal evolution of social groups during coffee breaks

 
: Atzmueller, M.; Ernst, A.; Krebs, F.; Scholz, C.; Stumme, G.

:

Atzmüller, M.:
Big data analytics in the social and ubiquitous context : 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014 and first International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014; Revised selected papers
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9546)
ISBN: 978-3-319-29008-9 (Print)
ISBN: 978-3-319-29009-6 (Online)
pp.90-108
International Workshop on Modeling Social Media (MSM) <5, 2014, Seoul>
International Workshop on Mining Ubiquitous and Social Environments (MUSE) <5, 2015, Nancy>
International Workshop on Machine Learning for Urban Sensor Data (SenseML) <1, 2014, Seoul>
English
Conference Paper
Fraunhofer IWES ()

Abstract
Group formation and evolution are prominent topics in social contexts. This paper focuses on the analysis of group evolution events in networks of face-to-face proximity. We first analyze statistical properties of group evolution, e.g., individual activity and typical group sizes. After that, we define a set of specific group evolution events. These are analyzed in the context of an academic conference, where we provide different patterns according to phases of the conference. Specifically, we investigate group formation and evolution using real-world data collected at the LWA 2010 conference utilizing the Conferator system, and discuss patterns according to different phases of the conference.

: http://publica.fraunhofer.de/documents/N-422636.html