short-paper

On the evolution of social groups during coffee breaks

Authors:

Martin Atzmueller,

Friedrich Krebs,

Christoph Scholz,

Gerd StummeAuthors Info & Claims

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

Pages 631 - 636

https://doi.org/10.1145/2567948.2579234

Published: 07 April 2014 Publication History

Abstract

This paper focuses on the analysis of group evolution events in networks of face-to-face proximity. First, we analyze statistical properties of group evolution, e.g., individual activity and typical group sizes. Furthermore, we define a set of specific group evolution events. We analyze these using real-world data collected at the LWA 2010 conference using the Conferator system, and discuss patterns according to different phases of the conference.

References

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Cited By

Liu JDeng CFu LLong HGan XWang XChen GXu J(2022)Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2020.301763021:3(971-985)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TMC.2020.3017630
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
Feng CFu LWu XGan XWang XChen GXu J(2020)Evolution Matters: Content Transmission in Evolving Wireless Social NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2020.301103519:11(7377-7391)Online publication date: Nov-2020
https://doi.org/10.1109/TWC.2020.3011035
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Index Terms

On the evolution of social groups during coffee breaks
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology
2. Information systems
  1. Information systems applications
    1. Data mining

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Information

Published In

cover image ACM Other conferences

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

1396 pages

ISBN:9781450327459

DOI:10.1145/2567948

General Chair:
Chin-Wan Chung
Korea Advanced Institute of Science and Technology, Korea
,
Program Chairs:
Andrei Broder
Google Inc., USA
,
Kyuseok Shim
Seoul National University, Korea
,
Torsten Suel
New York University, USA

Copyright © 2014 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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Short-paper

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WWW '14

Sponsor:

IW3C2

WWW '14: 23rd International World Wide Web Conference

April 7 - 11, 2014

Seoul, Korea

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Liu JDeng CFu LLong HGan XWang XChen GXu J(2022)Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2020.301763021:3(971-985)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TMC.2020.3017630
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
Feng CFu LWu XGan XWang XChen GXu J(2020)Evolution Matters: Content Transmission in Evolving Wireless Social NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2020.301103519:11(7377-7391)Online publication date: Nov-2020
https://doi.org/10.1109/TWC.2020.3011035
Qin ZYou ZJin HGan XWang J(2020)Homophily-Driven Evolution Increases the Diffusion Accuracy in Social NetworksIEEE Transactions on Network Science and Engineering10.1109/TNSE.2020.29789197:4(2680-2692)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TNSE.2020.2978919
Yang JSun YShang BWang LZhu J(2019)Understanding Collective Human Mobility Spatiotemporal Patterns on Weekdays from Taxi Origin-Destination Point DataSensors10.3390/s1912281219:12(2812)Online publication date: 24-Jun-2019
https://doi.org/10.3390/s19122812
Liu JFu LYao YFu XWang XChen G(2019)Modeling, Analysis and Validation of Evolving Networks With Hybrid InteractionsIEEE/ACM Transactions on Networking10.1109/TNET.2018.288199527:1(126-142)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1109/TNET.2018.2881995
Bloemheuvel SAtzmueller MPostma M(2019)Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face ProximityBehavioral Analytics in Social and Ubiquitous Environments10.1007/978-3-030-34407-8_2(28-43)Online publication date: 18-Nov-2019
https://doi.org/10.1007/978-3-030-34407-8_2
Liu JFu LLiu ZLiu XWang X(2018)Interest-Aware Information Diffusion in Evolving Social NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2018.282798417:7(4593-4606)Online publication date: Jul-2018
https://doi.org/10.1109/TWC.2018.2827984
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
Saganowski SBródka PKazienko P(2018)Community EvolutionEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_223(357-370)Online publication date: 12-Jun-2018
https://doi.org/10.1007/978-1-4939-7131-2_223
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