Algorithms to Measure Diversity and Clustering in Social Networks through Dot 
Product Graphs

Johnson, Matthew; Paulusma, Daniel; van Leeuwen, Erik Jan

doi:10.1016/j.socnet.2015.01.001

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Algorithms to Measure Diversity and Clustering in Social Networks through Dot Product Graphs

Johnson, M., Paulusma, D., & van Leeuwen, E. J. (2015). Algorithms to Measure Diversity and Clustering in Social Networks through Dot Product Graphs. Social Networks, 41, 48-55. doi:10.1016/j.socnet.2015.01.001.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-AFB8-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-AFB9-A

Genre: Journal Article

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Creators:
Johnson, Matthew¹, Author
Paulusma, Daniel¹, Author
van Leeuwen, Erik Jan², Author

Affiliations:
1External Organizations, ou_persistent22
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019

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Language(s): eng - English

Dates: Published Online: 2015Date issued: 2015

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.socnet.2015.01.001
BibTex Citekey: JohnsonPaulusmavL2015

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Title: Social Networks

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 41 Sequence Number: - Start / End Page: 48 - 55 Identifier: ISSN: 0378-8733