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Visual Analysis of Publication Networks
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis documents the development of a web-application attacking the problem of visualization of co-authorship networks. The visualization encompasses several views.Each of them shows different aspects of the data which is loaded from Academic Archive Online (DiVa), a library system which holds all publications released in the Linnaeus University.  To detect relationships among authors, a new interactive layout for Node-Link Diagrams was developed which shows publications, authors and corresponding organizations (faculties, departments) in a radial manner. This Network-View is connected to another view showing the attributes (year, type) of the publications. In development, particular emphasis was placed on a rich support of user interaction in order to equip the user with a tool that allows graphical and explorative analysis of the underlying data.

Place, publisher, year, edition, pages
2013. , 43 p.
Keyword [en]
Information Visualization, Co-Authorship Networks, D3, Javascript, DiVa, Graph Drawing, Social Network Visualization
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:lnu:diva-27487OAI: oai:DiVA.org:lnu-27487DiVA: diva2:636265
Subject / course
Computer Science
Presentation
2013-06-03, D1136, Linnaeus University, Växjö, 09:15 (English)
Supervisors
Examiners
Available from: 2013-08-12 Created: 2013-07-09 Last updated: 2018-01-11Bibliographically approved

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Maushagen Thesis(3091 kB)108 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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