Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/4825
| Title: | Scale-free networks which are highly assortative but not small world | Authors: | Small, M Xu, X Zhou, J Zhang, J Sun, J Lu, JA |
Issue Date: | 20-Jun-2008 | Source: | Physical review. E, Statistical, nonlinear, and soft matter physics, June 2008, v. 77, no. 6, 066112, p. 1-7 | Abstract: | Uncorrelated scale-free networks are necessarily small world (and, in fact, smaller than small world). Nonetheless, for scale-free networks with correlated degree distribution this may not be the case. We describe a mechanism to generate highly assortative scale-free networks which are not small world. We show that it is possible to generate scale-free networks, with arbitrary degree exponent γ>1, such that the average distance between nodes in the network is large. To achieve this, nodes are not added to the network with preferential attachment. Instead, we greedily optimize the assortativity of the network. The network generation scheme is physically motivated, and we show that the recently observed global network of Avian Influenza outbreaks arises through a mechanism similar to what we present here. Simulations show that this network exhibits very similar physical characteristics (very high assortativity, clustering, and path length). | Keywords: | Complex networks Network theory (graphs) Nonlinear dynamical systems |
Publisher: | American Physical Society | Journal: | Physical review. E, Statistical, nonlinear, and soft matter physics | ISSN: | 1539-3755 | EISSN: | 1550-2376 | DOI: | 10.1103/PhysRevE.77.066112 | Rights: | Physical Review E © 2008 The American Physical Society. The Journal's web site is located at http://pre.aps.org/ |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Small_Scale_Assortativity_World.pdf | 384.55 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
90
Last Week
1
1
Last month
Citations as of Sep 24, 2023
Downloads
196
Citations as of Sep 24, 2023
SCOPUSTM
Citations
32
Last Week
0
0
Last month
0
0
Citations as of Sep 28, 2023
WEB OF SCIENCETM
Citations
28
Last Week
0
0
Last month
0
0
Citations as of Sep 28, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.