A Method for Network Construction Based on Communication Data on Business Chat Application

Kenya Nonaka, Haruka Yamashita, Hotta Hajime, Masayuki Goto

Research output: Contribution to journalArticlepeer-review


Visualizing social relationships by a network is useful for understanding the behavior of groups and individuals. The target of this study is a network between employees in the workplace. The construction of this network enables us to understand human relationships and managing a team. To build this network, the questionnaire and E-mail data were conventionally used. However, in this work, we use conversation history data on a chat application(Slack, etc.). We propose a method of quantifying the relationship between employees from conversation data on a chat application and visualizing it as a network between employees. Specifically, we assume that strongly related employees will make remarks at adjacent times on the chat, quantify the relationship by multivariate Hawkes process and build a network. To verify the effectiveness of the proposed model, we used Slack conversation data of a real company and extracted knowledge about team management from the network.

Original languageEnglish
Pages (from-to)E-L63_1-E-L63_11
JournalTransactions of the Japanese Society for Artificial Intelligence
Issue number2
Publication statusPublished - 2022


  • Business chat data
  • Multivariate Hawkes process
  • Network analysis

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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