liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Are we what we do? Exploring group behaviour through user-defined event-sequence similarity
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-4761-8601
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9466-9826
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2014 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 13, no 3, 232-247 p.Article in journal (Refereed) Published
Abstract [en]

The study of human activity in space and time is an inherent part of human geography. In order to perform such studies, data on the time use of individuals, in terms of sequence and timing of performed activities, are collected and analysed. A common assumption when analysing individuals’ time use is that groups that exhibit similar background and demographic characteristics also display similarities in how they use their time to structure their daily lives. In this article, we set out to investigate the correctness of such assumptions. We propose a visual analytics process based on sequence similarity measures tailored to event-based data such as performed activity sequences. The process allows an analyst to retrieve similarly behaving records according to user-selected similarity preferences and interactively explore aspects of this similarity in a multiple linked-view environment.

Place, publisher, year, edition, pages
Sage Publications, 2014. Vol. 13, no 3, 232-247 p.
Keyword [en]
Event-based data, event-sequences, similarity measures, clustering, activity diaries, time-use data
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-90151DOI: 10.1177/1473871613477852ISI: 000337711400004OAI: oai:DiVA.org:liu-90151DiVA: diva2:612160
Available from: 2013-03-20 Created: 2013-03-20 Last updated: 2017-12-06

Open Access in DiVA

fulltext(3600 kB)246 downloads
File information
File name FULLTEXT01.pdfFile size 3600 kBChecksum SHA-512
a1c49cc42aed44d28058cc0e1fcc64bfa054d43c5e512066d186cc1315e8f3389d1c0c20716ea2bf6e8304786146fd9310f4e2fe052302c39e706bf9416b42f6
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Vrotsou, KaterinaYnnerman, AndersCooper, Matthew

Search in DiVA

By author/editor
Vrotsou, KaterinaYnnerman, AndersCooper, Matthew
By organisation
Media and Information TechnologyThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)
In the same journal
Information Visualization
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 246 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 346 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf