The Influence of Three Statistical Variables on Self-Similarity in Complex Networks

The reason for the self-similarity property of complex network is still an open issue. In this paper, we focus on the influence of degree, betweenness, and coreness on self-similarity of complex network. Some nodes are removed from the original network based on the definitions of degree, betweenness...

Full description

Saved in:
Bibliographic Details
Main Authors: Mingli Lei, Lirong Liu, Daijun Wei
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2020/7860126
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832556910723727360
author Mingli Lei
Lirong Liu
Daijun Wei
author_facet Mingli Lei
Lirong Liu
Daijun Wei
author_sort Mingli Lei
collection DOAJ
description The reason for the self-similarity property of complex network is still an open issue. In this paper, we focus on the influence of degree, betweenness, and coreness on self-similarity of complex network. Some nodes are removed from the original network based on the definitions of degree, betweenness, and coreness in the ascending and descending order. And then, some new networks are obtained after removing nodes. The self-similarities of original network and new networks are compared. Moreover, two real networks are used for numerical simulation, including a USAir network and the yeast protein interaction (YPI) network. The effects of the three statistical variables on the two real networks are considered. The results reveal that the nodes with large degree and betweenness have great effects on self-similarity, and the influence of coreness on self-similarity is small.
format Article
id doaj-art-b0e5c8a8a6414e4988d9d57ba83a8c9c
institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-b0e5c8a8a6414e4988d9d57ba83a8c9c2025-02-03T05:44:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/78601267860126The Influence of Three Statistical Variables on Self-Similarity in Complex NetworksMingli Lei0Lirong Liu1Daijun Wei2School of Science, Hubei University for Nationalities, Enshi 445000, ChinaSchool of Science, Hubei University for Nationalities, Enshi 445000, ChinaSchool of Science, Hubei University for Nationalities, Enshi 445000, ChinaThe reason for the self-similarity property of complex network is still an open issue. In this paper, we focus on the influence of degree, betweenness, and coreness on self-similarity of complex network. Some nodes are removed from the original network based on the definitions of degree, betweenness, and coreness in the ascending and descending order. And then, some new networks are obtained after removing nodes. The self-similarities of original network and new networks are compared. Moreover, two real networks are used for numerical simulation, including a USAir network and the yeast protein interaction (YPI) network. The effects of the three statistical variables on the two real networks are considered. The results reveal that the nodes with large degree and betweenness have great effects on self-similarity, and the influence of coreness on self-similarity is small.http://dx.doi.org/10.1155/2020/7860126
spellingShingle Mingli Lei
Lirong Liu
Daijun Wei
The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
Discrete Dynamics in Nature and Society
title The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
title_full The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
title_fullStr The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
title_full_unstemmed The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
title_short The Influence of Three Statistical Variables on Self-Similarity in Complex Networks
title_sort influence of three statistical variables on self similarity in complex networks
url http://dx.doi.org/10.1155/2020/7860126
work_keys_str_mv AT minglilei theinfluenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks
AT lirongliu theinfluenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks
AT daijunwei theinfluenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks
AT minglilei influenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks
AT lirongliu influenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks
AT daijunwei influenceofthreestatisticalvariablesonselfsimilarityincomplexnetworks