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Geometric Assortative Growth Model for Small-World Networks
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
It has been shown that both humanly constructed and natural networks are often characterized by small-world phenomenon and assortative mixing.
In this paper, we propose a geometrically growing model for small-world networks.
The model displays both tunable small-world phenomenon and tunable assortativity.
We obtain analytical solutions of relevant topological properties such as order, size, degree distribution, degree correlation, clustering, transitivity, and diameter.
It is also worth noting that the model can be viewed as a generalization for an iterative construction of Farey graphs.
American Psychological Association (APA)
Shang, Yilun. 2014. Geometric Assortative Growth Model for Small-World Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050945
Modern Language Association (MLA)
Shang, Yilun. Geometric Assortative Growth Model for Small-World Networks. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050945
American Medical Association (AMA)
Shang, Yilun. Geometric Assortative Growth Model for Small-World Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050945
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050945