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Finding the KTH collaboration network: A comparative analysis of Girvan-Newman andRosvall-Bergstrom's community detectionalgorithms on KTH's scientist collaborationnetwork
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Hitta KTHs sammarbetsnätverk : En analytisk jämförelse av Girvan-Newman och Rosvall-Bergstrom grupperingsdetektionsalgoritmer utförda på KTHs forskningssamarbetsnätverk (Swedish)
Abstract [en]

Using DiVAs data on published works and their authors, a database was constructed on which Girvan-Newmans (2002) and Rosvall-Bergstroms (2007) community finding algorithms were applied. The results were compared in an effort to evaluate the current allocation of researchers at KTH's divisions and the performance of said algorithms on the collaboration network. Rosvall-Bergstrom performed better than Girvan-Newman both in result and performance. The results of both algorithms are similar, and illustrate that the current allocation of researchers forces work across school borders.

Abstract [sv]

Med DiVAs data om publicerade verk och deras författare, skapades en databas som Girvan-Newmans (2002) and Rosvall-Berstroms (2007) grupperingsdetektionsalgoritmer applicerades på. Resultaten jämfördes med som mål att utvärdera den nuvarande placeringen av forskare vid KTHs interna skolor och algoritmernas prestanda på samarbetsnätverket. Rosvall-Bergstroms presterade bättre än Girvan-Newmans både i resultat och i prestanda. Resultatet av båda algoritmerna är lika, och visar att den nuvarande placeringen av forskare tvingar till samarbete över skolornas gränser.

Place, publisher, year, edition, pages
Keyword [en]
community detection, girvan-newman, rosvall-bergstrom, homogeneity, heterogeneity
National Category
Computer Science
URN: urn:nbn:se:kth:diva-187881OAI: diva2:931846
Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2016-05-30Bibliographically approved

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