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

• Nonaka Kenya

  Waseda University

• Yamashita Haruka

  Sophia University

• Hotta Hajime

  Laboratik Inc.

• Goto Masayuki

  Waseda University

Bibliographic Information

Other Title

• ビジネスチャットアプリ上のコミュニケーションデータに基づくネットワーク構築手法

Abstract

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.

Journal

• Transactions of the Japanese Society for Artificial Intelligence

  Transactions of the Japanese Society for Artificial Intelligence 37 (2), E-L63_1-11, 2022-03-01

  The Japanese Society for Artificial Intelligence

Keywords

• network analysis
• business chat data
• multivariate Hawkes process

Details

• CRID: 1390573242462080128
• NII Article ID: 130008165997
• DOI: 10.1527/tjsai.37-2_e-63
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/37/2/37_37-2_E-63/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed