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Analysis of Group-Based Communication in WhatsApp

  • Michael SeufertEmail author
  • Anika Schwind
  • Tobias Hoßfeld
  • Phuoc Tran-Gia
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 158)

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 

Notes

Acknowledgement

This work was partly funded by Deutsche Forschungsgemeinschaft (DFG) under grants HO 4770/1-2 and TR257/31-2, and in the framework of the EU ICT Project SmartenIT (FP7-2012-ICT-317846). The authors alone are responsible for the content.

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  • Michael Seufert
    • 1
    Email author
  • Anika Schwind
    • 1
  • Tobias Hoßfeld
    • 2
  • Phuoc Tran-Gia
    • 1
  1. 1.Insitute of Computer ScienceUniversity of WürzburgWürzburgGermany
  2. 2.Chair of Modeling of Adaptive SystemsUniversity of Duisburg-EssenEssenGermany

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