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Analysis of Group-Based Communication in WhatsApp

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

  1. 1.Insitute of Computer ScienceUniversity of WürzburgWürzburgGermany
  2. 2.Chair of Modeling of Adaptive SystemsUniversity of Duisburg-EssenEssenGermany

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