Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density-Reference-Cited by-同舟云学术

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Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density

Published:2018-03-03 Issue:1 Volume:8 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Strang Alexander,Haynes Oliver,Cahill Nathan D.,Narayan Darren A.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

http://link.springer.com/article/10.1007/s13278-018-0492-3/fulltext.html

Reference16 articles.

1. Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nature 10:186–196

2. Ek B, VerSchneider C, Cahill N, Narayan DA (2015) A comprehensive comparison of graph theory metrics for social networks. Social Netw Anal Min 5(1):1-7

3. Bryan B Ek, VerSchneider C, Narayan DA (2015) Global efficiency of graphs. AKCE Int J Graphs Comb 12(1):1–13

4. Erdős P, Rényi A (1959) On random graphs. Publ Math 6:290–297

5. Fukami T, Takahashi N (2014) New classes of clustering coefficient locally maximizing graphs. Discrete Appl Math 162:202–213

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