SCENE: Structural conversation evolution network

Marina Danilevsky, Joshua Hailpern, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It's not just what you say, but it is how you say it. To date, the majority of the Instant Message (IM) analysis and research has focused on the content of the conversation.The main research question has been, 'what do people talk about?' focusing on topic extraction and topic modeling. While content is clearly critical for many real-world applications, we have largely ignored identifying 'how' people communicate. Conversation structure and communication patterns provide deep insight into how conversations evolve, and how the content is shared. Motivated by theoretical work from psychology and linguistics in the area of conversation alignment, we introduce SCENE, an evolution network approach to extract knowledge from a conversation network.We demonstrate the potential of our approach by taking the task of matching conversation partners. We find that SCENE is more successful because, in contrast to existing approaches, SCENE treats a conversation as an evolving, rather than a static document, and focuses on the structural elements of the conversation instead of being tied to the specific content.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Pages29-36
Number of pages8
DOIs
StatePublished - Sep 19 2011
Event2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan, Province of China
Duration: Jul 25 2011Jul 27 2011

Publication series

NameProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Other

Other2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
CountryTaiwan, Province of China
CityKaohsiung
Period7/25/117/27/11

Keywords

  • Conversation evolution network
  • Conversation network
  • Conversation structure network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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