具有生长和重新布线动态的多群落二部网络的度分布

H. Fan
{"title":"具有生长和重新布线动态的多群落二部网络的度分布","authors":"H. Fan","doi":"10.1109/CSO.2011.260","DOIUrl":null,"url":null,"abstract":"Many real-world networks appear with community structure, and evolve with both growing and rewiring dynamics. Although some empirical investigations show the universal power law distribution in each community of such real-world networks, the study on the degree distribution in each community with both growing and rewiring dynamics lacks. In this paper, we construct a multi-community bipartite network model with both growing and rewiring dynamics. The growing rate and rewiring rate in each community evolve with time due to the interacting of communities. We find that the steady degree distribution in each community of the multi-community bipartite network model is equivalent to that in a bipartite network model without community structure.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Degree Distribution of a Multi-community Bipartite Network with Both Growing and Rewiring Dynamics\",\"authors\":\"H. Fan\",\"doi\":\"10.1109/CSO.2011.260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many real-world networks appear with community structure, and evolve with both growing and rewiring dynamics. Although some empirical investigations show the universal power law distribution in each community of such real-world networks, the study on the degree distribution in each community with both growing and rewiring dynamics lacks. In this paper, we construct a multi-community bipartite network model with both growing and rewiring dynamics. The growing rate and rewiring rate in each community evolve with time due to the interacting of communities. We find that the steady degree distribution in each community of the multi-community bipartite network model is equivalent to that in a bipartite network model without community structure.\",\"PeriodicalId\":210815,\"journal\":{\"name\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2011.260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2011.260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

许多现实世界的网络以社区结构出现,并随着增长和重新布线的动态而发展。虽然一些实证研究显示了这种现实世界网络中每个社区的普遍幂律分布,但对增长和重新布线动态的每个社区的度分布的研究缺乏。在本文中,我们构造了一个具有生长和重新布线动态的多社区二部网络模型。由于社区的相互作用,每个社区的增长率和重新布线率随着时间的推移而演变。研究发现,多群落二部网络模型各群落的稳定度分布与无群落结构的二部网络模型的稳定度分布是等价的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The Degree Distribution of a Multi-community Bipartite Network with Both Growing and Rewiring Dynamics
Many real-world networks appear with community structure, and evolve with both growing and rewiring dynamics. Although some empirical investigations show the universal power law distribution in each community of such real-world networks, the study on the degree distribution in each community with both growing and rewiring dynamics lacks. In this paper, we construct a multi-community bipartite network model with both growing and rewiring dynamics. The growing rate and rewiring rate in each community evolve with time due to the interacting of communities. We find that the steady degree distribution in each community of the multi-community bipartite network model is equivalent to that in a bipartite network model without community structure.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Inverse Eigenvalue Problem for a Special Kind of Matrices A Nonlinear Artificial Intelligence Ensemble Prediction Model Based on EOF for Typhoon Track Product Review Information Extraction Based on Adjective Opinion Words The Design and Implement of Meteorological Service Benefit Assessment for Huaihe River Basin with GIS Technology The Effects of Interest Rate Regulation on Real Estate Prices in China
×
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