Coordinated perspectives and enhanced force-directed layout for the analysis of network motifs

Christian Klukas, Falk Schreiber, Henning Schẅobbermeyer

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

Abstract

The analysis of network motifs, patterns of local interconnections with potential functional properties, has applications in many fields of science. Network motif analysis is particularly important for the exploration of biological networks. The distribution and multiple occurrences of motifs in a network, complicated by different concepts for the determination of motif frequency, create various difficulties in understanding and interpretation. We present a system that facilitates the analysis of network motifs by presenting coordinated perspectives simultaneously. A list of motifs supported by the network, visual representations of motifs of interest, a motif fingerprint and a visualisation of motif matches in the network are interwoven in a single interface. A motif and cluster-preserving force-directed layout algorithm supports the visual analysis of network motifs. This coordination of perspectives significantly enhances the explorative power of network motif analysis.

Original languageEnglish
Title of host publicationInformation Visualisation 2006 - Asia Pacific Symposium on Information Visualisation, APVIS 2006
PublisherAssociation for Computing Machinery (ACM)
Pages39-48
Number of pages10
ISBN (Print)1920682414, 9781920682415
Publication statusPublished - 2006
Externally publishedYes
EventAsia Pacific Symposium on Information Visualisation, APVIS 2006 - Tokyo, Japan
Duration: 1 Feb 20063 Feb 2006

Publication series

NameConferences in Research and Practice in Information Technology Series
Volume60
ISSN (Print)1445-1336

Conference

ConferenceAsia Pacific Symposium on Information Visualisation, APVIS 2006
Country/TerritoryJapan
CityTokyo
Period1/02/063/02/06

Keywords

  • Coordinated perspectives
  • Force-directed layout
  • Graph drawing
  • Information visualisation
  • Multiple views
  • Network analysis
  • Network motifs

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