extended-abstract

Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity

Authors:

Martin Atzmueller,

Simone KauffeldAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 1231 - 1238

https://doi.org/10.1145/2968219.2968437

Published: 12 September 2016 Publication History

Abstract

The analysis of social interaction networks is essential for understanding and modeling network structures as well as the behavior of the involved actors. This paper describes an analysis at large scale using (sensor) data collected by RFID tags complemented by self-report data obtained using surveys. We focus on the social network of a students' freshman week, and investigate research questions concerning group behavior and structure, gender homophily, and inter-relations of sensor-based (RFID) and self-report social networks. Such analyses are a first step for enhancing interactions and enabling proactive guidance.

References

[1]

Martin Atzmueller. 2007. Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery. DISKI, Vol. 307. IOS Press.

Digital Library

[2]

Martin Atzmueller. 2014. Data Mining on Social Interaction Networks. Journal of Data Mining and Digital Humanities 1 (June 2014).

[3]

Martin Atzmueller. 2015. Subgroup Discovery -- Advanced Review. WIREs DMKD 5, 1 (2015), 35--49.

Digital Library

[4]

Martin Atzmueller, Martin Becker, Mark Kibanov, Christoph Scholz, Stephan Doerfel, Andreas Hotho, Bjoern-Elmar Macek, Folke Mitzlaff, Juergen Mueller, and Gerd Stumme. 2014. Ubicon and its Applications for Ubiquitous Social Computing. New Review of Hypermedia and Multimedia 20, 1 (2014), 53--77.

Digital Library

[5]

Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff, and Gerd Stumme. 2012. Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles. In Modeling and Mining Ubiquitous Social Media. LNAI, Vol. 7472. Springer, Berlin.

[6]

Martin Atzmueller, Stephan Doerfel, and Folke Mitzlaff. 2016. Description-Oriented Community Detection using Exhaustive Subgroup Discovery. Information Sciences 329 (2016), 965--984.

Digital Library

[7]

Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz, and Gerd Stumme. 2014. On the Evolution of Social Groups During Coffee Breaks. In Proc. WWW 2014 (Companion). IW3C2 / ACM.

Digital Library

[8]

Martin Atzmueller, Björn Fries, and Naveed Hayat. 2016. Sensing, Processing and Analytics - Augmenting the Ubicon Platform for Anticipatory Ubiquitous Computing. In Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp '16 Adjunct). ACM, New York, NY, USA.

Digital Library

[9]

Martin Atzmueller and Katy Hilgenberg. 2013. Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection. In Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013. ACM Press, New York, NY, USA.

Digital Library

[10]

Alain Barrat and Ciro Cattuto. 2013. Temporal Networks. Springer, Chapter Temporal Networks of Face-to-Face Human Interactions.

[11]

Alain Barrat, Ciro Cattuto, Vittoria Colizza, Jean-François Pinton, Wouter Van den Broeck, and Alessandro Vespignani. 2008. High Resolution Dynamical Mapping of Social Interactions with Active RFID. PLoS ONE 5, 7 (2008).

[12]

Peter Bearman and Paolo Parigi. 2004. Cloning Headless Frogs and Other Important Matters: Conversation Topics and Network Structure. Social Forces 83, 2 (2004), 535--557.

[13]

Ciro Cattuto, Wouter Van den Broeck, Alain Barrat, Vittoria Colizza, Jean-François Pinton, and Alessandro Vespignani. 2010. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks. PLoS ONE 5, 7 (07 2010), e11596.

[14]

Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme. 2013. New Insights and Methods For Predicting Face-To-Face Contacts. In Proc. ICWSM. AAAI, Palo Alto, CA, USA.

[15]

Lorenzo Isella, Juliette Stehlé, Alain Barrat, Ciro Cattuto, Jean-François Pinton, and Wouter Van den Broeck. 2010. What's in a Crowd? Analysis of Face-to-Face Behavioral Networks. Journal of Theoretical Biology 271 (2010), 166--180.

[16]

Mark Kibanov, Martin Atzmueller, Christoph Scholz, and Gerd Stumme. 2014. Temporal Evolution of Contacts and Communities in Networks of Face-to-Face Human Interactions. Science China Information Sciences 57 (March 2014).

[17]

David Liben-Nowell and Jon M. Kleinberg. 2003. The Link Prediction Problem for Social Networks. In Proc. CIKM. ACM, New York, NY, USA, 556--559.

Digital Library

[18]

Bjoern-Elmar Macek, Christoph Scholz, Martin Atzmueller, and Gerd Stumme. 2012. Anatomy of a Conference. In Proc. HT. ACM, New York, NY, USA.

Digital Library

[19]

S. Maslov, K. Sneppen, and A. Zaliznyak. 2004. Detection of Topological Patterns in Complex Networks: Correlation Profile of the Internet. Phys. A: Statistical and Theoretical Physics 333 (2004), 529--540.

[20]

Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, and Gerd Stumme. 2011. Community Assessment using Evidence Networks. In Analysis of Social Media and Ubiquitous Data. LNAI, Vol. 6904. Springer, Heidelberg, Germany, 79--98.

Digital Library

[21]

Folke Mitzlaff, Martin Atzmueller, Andreas Hotho, and Gerd Stumme. 2014. The Social Distributional Hypothesis. Journal of Social Network Analysis and Mining 4, 216 (2014).

[22]

Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, and Andreas Hotho. 2013. Semantics of User Interaction in Social Media. In Complex Networks (Proc. CompleNet 2013). Springer, Berlin, 13--25.

[23]

Gergely Palla, Albert-Laszlo Barabasi, and Tamas Vicsek. 2007. Quantifying Social Group Evolution. Nature 446, 7136 (April 2007), 664--667.

[24]

Christoph Scholz, Martin Atzmueller, and Gerd Stumme. 2012. On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties. In SocialCom 2012. IEEE Computer Society, Los Alamitos, CA, USA.

Digital Library

[25]

Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, and Gerd Stumme. 2011. Resource-Aware On-Line RFID Localization Using Proximity Data. In Proc.ECML/PKDD (LNCS), Vol. 6913. Springer, Berlin, 129--144.

Digital Library

[26]

Juliette Stehlé, François Charbonnier, Tristan Picard, Ciro Cattuto, and Alain Barrat. 2013. Gender Homophily from Spatial Behavior in a Primary School: A Sociometric Study. Social Networks 35, 4 (2013).

[27]

Lisa Thiele, Martin Atzmueller, Simone Kauffeld, and Gerd Stumme. 2014. Subjective versus Objective Captured Social Networks: Comparing Standard Self-Report Questionnaire Data with Observational RFID Technology Data. In Proc. Measuring Behavior. Wageningen, The Netherlands.

[28]

John C. Turner. 1981. Towards a Cognitive Redefinition of the Social Group. Cah Psychol Cogn 1, 2 (1981).

Cited By

Dong XCheng S(2022)A machine vision–based, quantitative method of capturing spatiotemporal activity for post-occupancy evaluation researchScience and Technology for the Built Environment10.1080/23744731.2022.215127229:2(185-211)Online publication date: 19-Dec-2022
https://doi.org/10.1080/23744731.2022.2151272
Doan NHudson DWiltshire TLijdsman PWever SAtzmueller M(2021)Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction InformationAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3461689(71-74)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3461689
Cabrera-Quiros LDemetriou AGedik EMeij LHung H(2018)The MatchNMingle dataset: a novel multi-sensor resource for the analysis of social interactions and group dynamics in-the-wild during free-standing conversations and speed datesIEEE Transactions on Affective Computing10.1109/TAFFC.2018.2848914(1-1)Online publication date: 2018
https://doi.org/10.1109/TAFFC.2018.2848914
Show More Cited By

Index Terms

Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity
1. Applied computing
  1. Law, social and behavioral sciences
2. Mathematics of computing
  1. Information theory

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Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 12 September 2016

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UbiComp '16

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Dong XCheng S(2022)A machine vision–based, quantitative method of capturing spatiotemporal activity for post-occupancy evaluation researchScience and Technology for the Built Environment10.1080/23744731.2022.215127229:2(185-211)Online publication date: 19-Dec-2022
https://doi.org/10.1080/23744731.2022.2151272
Doan NHudson DWiltshire TLijdsman PWever SAtzmueller M(2021)Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction InformationAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3461689(71-74)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3461689
Cabrera-Quiros LDemetriou AGedik EMeij LHung H(2018)The MatchNMingle dataset: a novel multi-sensor resource for the analysis of social interactions and group dynamics in-the-wild during free-standing conversations and speed datesIEEE Transactions on Affective Computing10.1109/TAFFC.2018.2848914(1-1)Online publication date: 2018
https://doi.org/10.1109/TAFFC.2018.2848914
Atzmueller MThiele LStumme GKauffeld S(2018)Analyzing group interaction on networks of face-to-face proximity using wearable sensors2018 IEEE International Conference on Future IoT Technologies (Future IoT)10.1109/FIOT.2018.8325593(1-10)Online publication date: Jan-2018
https://doi.org/10.1109/FIOT.2018.8325593

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