Abstract
Networks are interesting because of their specific structural patterns, and how those structures affect the members of the network. Stated more simply, networks affect their members based on where those members are located in the networks. A person who is connected to many other members of a network is likely to view the rest of the network quite differently from somebody who is relatively isolated from the other members.
…we’re now tied up with human beings, tied to you and forced to go on with this adventure according to the laws of visibility. (Jean Genet)
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Knoke D, Burt RS (1983) Prominence. Appl Netw Anal. https://scholar.google.com/scholar?q=knoke+burt+prominence&btnG=&hl=en&as_sdt=0%2C26#0
Wasserman S, Faust K (1994) Social network analysis: methods and applications, vol 25. Cambridge University Press, p 825. ISBN:0521387078. https://books.google.com/books?id=CAm2DpIqRUIC&pgis=1
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Luke, D.A. (2015). Actor Prominence. In: A User’s Guide to Network Analysis in R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-23883-8_7
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DOI: https://doi.org/10.1007/978-3-319-23883-8_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23882-1
Online ISBN: 978-3-319-23883-8
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