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RWTH Aachen
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Organisational Research Profiling based on Social Network Analysis and Visualizations

Thesis type
  • Bachelor
  • Master
Status Running
Supervisor(s)
Advisor(s)

In times of global competition for students and world class researchers many organizations (e.g. universities, faculties, departments, workgroups) are periodically assessing, developing and exposing their research profiles. There are many methodologies to perform such analyses, typically based on expert assessment, advisory or wishful dreaming.

In this master thesis the aim is to develop a toolkit that performs time-sliced research profile analyses automatically using social network analysis and visualization techniques on available bibliometric data. The thesis prototype will focus on profiles in the area of computer science, since DBLP offers a comprehensive, open bilbiography for the discipline. The prototype shall build on existing systems developed at i5, including AERCS. An initial set of analyses and visualizations for organizational research profiles is to be developed.

If you are interested in this thesis please contact Petru Nicolaescu at nicolaescu@dbis.rwth-aachen.de

 

Prerequisites

  • Must: Java & Javascript skills; optimally in connection with knowledge of common frameworks and IDEs
  • Nice: Social network analysis, visual analytics
  • Related projects

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