Topology Universality and Dissimilarity in a Class of Scale-Free Networks.

We study the effect of subtle changes on the evolution in the scale-free (SF) networks. Three extended models are evolved based on competition and inner anti-preferential deletion in growth and preferential attachment processes. By nonlinear and dynamic controlling on randomness and determinacy, thr...

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Main Authors: Lanhua Zhang, Juan Chen, Mei Wang, Yujuan Li, Shaowei Xue, Yiyuan Tang, Baoliang Sun
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4999222?pdf=render
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author Lanhua Zhang
Juan Chen
Mei Wang
Yujuan Li
Shaowei Xue
Yiyuan Tang
Baoliang Sun
author_facet Lanhua Zhang
Juan Chen
Mei Wang
Yujuan Li
Shaowei Xue
Yiyuan Tang
Baoliang Sun
author_sort Lanhua Zhang
collection DOAJ
description We study the effect of subtle changes on the evolution in the scale-free (SF) networks. Three extended models are evolved based on competition and inner anti-preferential deletion in growth and preferential attachment processes. By nonlinear and dynamic controlling on randomness and determinacy, three models can self-organize into scale-free networks, and diverse scaling exponents appear. Moreover, the model with more determinacy has more stringent parameter control than randomness, especially in the edge deletion. Our results suggest that the nature of the topology universality and dissimilarity in SF networks may be the subtle changes of randomness and determinacy.
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spelling doaj.art-878e93f18b264ccb954e5d728743afea2022-12-22T00:16:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01118e016165310.1371/journal.pone.0161653Topology Universality and Dissimilarity in a Class of Scale-Free Networks.Lanhua ZhangJuan ChenMei WangYujuan LiShaowei XueYiyuan TangBaoliang SunWe study the effect of subtle changes on the evolution in the scale-free (SF) networks. Three extended models are evolved based on competition and inner anti-preferential deletion in growth and preferential attachment processes. By nonlinear and dynamic controlling on randomness and determinacy, three models can self-organize into scale-free networks, and diverse scaling exponents appear. Moreover, the model with more determinacy has more stringent parameter control than randomness, especially in the edge deletion. Our results suggest that the nature of the topology universality and dissimilarity in SF networks may be the subtle changes of randomness and determinacy.http://europepmc.org/articles/PMC4999222?pdf=render
spellingShingle Lanhua Zhang
Juan Chen
Mei Wang
Yujuan Li
Shaowei Xue
Yiyuan Tang
Baoliang Sun
Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
PLoS ONE
title Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
title_full Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
title_fullStr Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
title_full_unstemmed Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
title_short Topology Universality and Dissimilarity in a Class of Scale-Free Networks.
title_sort topology universality and dissimilarity in a class of scale free networks
url http://europepmc.org/articles/PMC4999222?pdf=render
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