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Multivariate Network Exploration with JauntyNets
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). (ISOVIS)ORCID-id: 0000-0001-6745-4398
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). (ISOVIS)ORCID-id: 0000-0002-0519-2537
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). (ISOVIS)ORCID-id: 0000-0003-3654-0255
2013 (engelsk)Inngår i: Proceedings 2013 17th International Conference on Information Visualisation IV 2013: 16-18 July 2013, London, United Kingdom, IEEE, 2013, s. 19-27Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The amount of data produced in the world every day implies a huge challenge in understanding and extracting knowledge from it. Much of this data is of relational nature, such as social networks, metabolic pathways, or links between software components. Traditionally, those networks are represented as node-link diagrams or matrix representations. They help us to understand the structure (topology) of the relational data. However in many real world data sets, additional (often multidimensional) attributes are attached to the network elements. One challenge is to show these attributes in context of the underlying network topology in order to support the user in further analyses. In this paper, we present a novel approach that extends traditional force-based graph layouts to create an attribute-driven layout. In addition, our prototype implementation supports interactive exploration by introducing clustering and multidimensional scaling into the analysis process.

sted, utgiver, år, opplag, sider
IEEE, 2013. s. 19-27
Emneord [en]
network visualization, multivariate networks, graph drawing, force-based layouts, attribute-driven layout, interaction, visual analytics
HSV kategori
Forskningsprogram
Datavetenskap, Informations- och programvisualisering; Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-25471DOI: 10.1109/IV.2013.3Scopus ID: 2-s2.0-84893339437OAI: oai:DiVA.org:lnu-25471DiVA, id: diva2:618551
Konferanse
17th International Conference on Information Visualisation (IV '13), 16-18 July 2013, SOAS, University of London, London
Tilgjengelig fra: 2013-04-29 Laget: 2013-04-29 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Forlagets fulltekstScopushttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6676538&isnumber=6676523

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Jusufi, IlirKerren, AndreasZimmer, Björn

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