Social network analysis as a tool for data analysis and visualization in information behaviour and interactive information retrieval research

Florian Meier*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Abstract

Social network analysis (SNA) is an empirical approach and a set of techniques that investigates actors, their dyadic links and the network they form. In this half-day tutorial, participants will learn about social network analysis as a tool for data analysis and visualization and how it can be applied in studies of information behaviour and interactive information retrieval. Participants will learn about its theoretical substantiation and gain practical experience by applying these theoretical concepts in a hands-on session using the open-source software Gephi.

Original languageEnglish
Title of host publicationCHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
Number of pages4
PublisherAssociation for Computing Machinery
Publication date14 Mar 2020
Pages477-480
ISBN (Electronic)9781450368926
DOIs
Publication statusPublished - 14 Mar 2020
Event5th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2020 - Vancouver, Canada
Duration: 14 Mar 202018 Mar 2020

Conference

Conference5th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2020
Country/TerritoryCanada
CityVancouver
Period14/03/202018/03/2020
SponsorACM Special Interest Group on Information Retrieval (ACM SIGIR)
SeriesCHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval

Keywords

  • Information behaviour
  • Interactive information retrieval
  • Social network analysis

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