Community structure within scientific collaboration network at Uppsala university
In this paper the community discovery algorithms created by Girvan-Newman and Rosvall-Bergstrom are used to find communities within a scientific collaboration network created from researchers from Uppsala university. The results are then compared with official department structures and previous rese...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230234 |
| Summary: | In this paper the community discovery algorithms created by Girvan-Newman and Rosvall-Bergstrom are used to find communities within a scientific collaboration network created from researchers from Uppsala university. The results are then compared with official department structures and previous research of collaboration at KTH. The results show that research across department boundaries are more common at Uppsala than at KTH. Differences in department structure is discussed as a potential cause. === I denna rapport används algoritmer för att identifiera grupp-struktur för att hitta grupper inom ett vetenskapligt samarbetsnätverk skapat från forskare från Uppsala universitet. Resultaten är sedan jämförda med officiella avdelningar samt tidigare forskning om samarbete på KTH. Resultaten visar att samarbete mellan olika avdelningar är vanligare på Uppsala universitet. Skillnader i avdelningsstruktur är diskuterade som en potentiell orsak. |
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