Distinguishing IM Communication Patterns with Relationship and Conversation Topics

Kung Pai Lin, Hao Ping Lee, Yu Ling Chou, Faye Shih, Yung Ju Chang

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Despite being characterized as constantly on and connected, IM users' responsiveness varies across different contacts. While research has shown that the relationship between conversation partners plays an important role in influencing their communication patterns, characterization of such patterns simply by using relationship information is limited [7, 8]. In this paper, we identify five distinct clusters of IM patterns using unsupervised learning derived from 46 users' conversation history. We show that the relationship category sufficed to characterize three clusters of communication patterns, but failed for the most active one. However, considering both relationship and topics would distinguish most communication patterns, including the most active one. This result suggests that future research on IM communication patterns should pay more attention to the topics in users' conversations.

原文English
主出版物標題CSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
發行者Association for Computing Machinery
頁面121-125
頁數5
ISBN(電子)9781450384797
DOIs
出版狀態Published - 23 10月 2021
事件24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021 - Virtual, Online, United States
持續時間: 23 10月 202127 10月 2021

出版系列

名字Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
國家/地區United States
城市Virtual, Online
期間23/10/2127/10/21

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