Mobile Networks and Management. 7th International Conference, MONAMI 2015, Santander, Spain, September 16-18, 2015, Revised Selected Papers

Research Article

Analysis of Group-Based Communication in WhatsApp

Download
555 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-319-26925-2_17,
    author={Michael Seufert and Anika Schwind and Tobias Ho\`{a}feld and Phuoc Tran-Gia},
    title={Analysis of Group-Based Communication in WhatsApp},
    proceedings={Mobile Networks and Management. 7th International Conference, MONAMI 2015, Santander, Spain, September 16-18, 2015, Revised Selected Papers},
    proceedings_a={MONAMI},
    year={2016},
    month={1},
    keywords={Group-based communication WhatsApp Survey Classification Semi-Markov process Network traffic model Mobile instant messaging Group chats Mobile networks},
    doi={10.1007/978-3-319-26925-2_17}
}
  • Michael Seufert
    Anika Schwind
    Tobias Hoßfeld
    Phuoc Tran-Gia
    Year: 2016
    Analysis of Group-Based Communication in WhatsApp
    MONAMI
    Springer
    DOI: 10.1007/978-3-319-26925-2_17
Michael Seufert1,*, Anika Schwind1, Tobias Hoßfeld2,*, Phuoc Tran-Gia1
  • 1: University of Würzburg
  • 2: University of Duisburg-Essen
*Contact email: seufert@informatik.uni-wuerzburg.de, tobias.hossfeld@uni-due.de

Abstract

This work investigates group-based communication in WhatsApp based on a survey and the analysis of messaging logs. The characteristics of WhatsApp group chats in terms of usage and topics are outlined. We present a classification based on the topic of the group and classify anonymized messaging logs based on message statistics. Finally, we model WhatsApp group communication with a semi-Markov process, which can be used to generate network traffic similar to real messaging logs.

Keywords
Group-based communication WhatsApp Survey Classification Semi-Markov process Network traffic model Mobile instant messaging Group chats Mobile networks
Published
2016-01-11
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-26925-2_17
Copyright © 2015–2024 ICST
EAI Logo

About EAI

Community

Publish with EAI