Assortativity Properties of Scale-Free Networks

V. Shergin, L. Chala, S. Udovenko
{"title":"Assortativity Properties of Scale-Free Networks","authors":"V. Shergin, L. Chala, S. Udovenko","doi":"10.1109/PICST47496.2019.9061369","DOIUrl":null,"url":null,"abstract":"Nodes distribution by degrees is the most important characteristic of complex networks, but not comprehensive one. While degree distribution is a first order graph metric, the assortativity is a second order one. Assortativity coefficient is a measure of a tendency for nodes in networks to connect with similar or dissimilar ones in some way. As a simplest case, assortative mixing is considered according to nodes degree. In general, degree distribution forms an essential restriction both on the network structure and on assortativity coefficient boundaries. The problem of determining the structure of SF- networks having an extreme assortativity coefficient is considered. The estimates of boundaries for assortativity coefficient have been found. It was found, that these boundaries are as wider as scaling factor of SF-model is far from one of BA-model. In addition, the boundaries are narrowing with increasing the network size.","PeriodicalId":6764,"journal":{"name":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"49 1","pages":"723-726"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST47496.2019.9061369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Nodes distribution by degrees is the most important characteristic of complex networks, but not comprehensive one. While degree distribution is a first order graph metric, the assortativity is a second order one. Assortativity coefficient is a measure of a tendency for nodes in networks to connect with similar or dissimilar ones in some way. As a simplest case, assortative mixing is considered according to nodes degree. In general, degree distribution forms an essential restriction both on the network structure and on assortativity coefficient boundaries. The problem of determining the structure of SF- networks having an extreme assortativity coefficient is considered. The estimates of boundaries for assortativity coefficient have been found. It was found, that these boundaries are as wider as scaling factor of SF-model is far from one of BA-model. In addition, the boundaries are narrowing with increasing the network size.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
无标度网络的分类特性
节点的度分布是复杂网络最重要的特征,但不是全面的特征。度分布是一阶图度量,分类度是二阶图度量。选型系数是衡量网络中节点以某种方式与相似或不同节点连接的趋势。作为最简单的情况,分类混合是根据节点度来考虑的。总体而言,度分布对网络结构和分类系数边界都构成了本质的制约。研究了具有极端选型系数的SF-网络结构的确定问题。找到了分类系数的边界估计。研究发现,当sf模型的标度因子与ba模型的标度因子相差甚远时,这些边界就会变宽。此外,边界随着网络规模的增大而缩小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modern informatics and its teaching methods (MITM2020) [Electronic resource]: collection of materials of the international scientific-practical conference. - Andijan, May 20, 2020 Section IV. The role of information and communication technologies in preschool educational institutions DIGITALIZATION - A FACTOR OF SOCIAL DEVELOPMENT QUALITY DIGITAL TECHNOLOGIES IN MODERN EDUCATION: CURRENT TRENDS AND DEVELOPMENT FACTORS IN PHILOLOGY AND PEDAGOGY PIC S&T 2019 Copyright Page Object Detection Method Based on Aerial Image Instance Segmentation in Poor Optical Conditions for Integration of Data into an Infocommunication System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1