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在不断发展的社交网络中,同质性和知名度的竞争。

The Competition of Homophily and Popularity in Growing and Evolving Social Networks.

机构信息

School of Management, Hefei University of Technology, Hefei, 230009, China.

Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, Anhui, 230009, China.

出版信息

Sci Rep. 2018 Oct 18;8(1):15431. doi: 10.1038/s41598-018-33409-8.

DOI:10.1038/s41598-018-33409-8
PMID:30337574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6194079/
Abstract

Previous studies have used several models to investigate the mechanisms for growing and evolving real social networks. These models have been widely used to simulate large networks in many applications. In this paper, based on the evolutionary mechanisms of homophily and popularity, we propose a new generation model for growing and evolving social networks, namely, the Homophily-Popularity model. In this new model, new links are added, and old links are deleted based on the link probabilities between every node pair. The results of our simulation-based experimental studies provide evidence that the proposed model is capable of modelling a variety of real social networks.

摘要

先前的研究使用了几种模型来探究真实社交网络的增长和演化机制。这些模型已被广泛应用于许多领域中模拟大型网络。在本文中,基于相似性和流行度的演化机制,我们提出了一种新的社交网络增长和演化的生成模型,即相似性-流行度模型。在这个新模型中,新的链接是根据每个节点对之间的链接概率添加的,而旧的链接则被删除。我们基于模拟的实验研究结果提供了证据,证明所提出的模型能够对各种真实的社交网络进行建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3892/6194079/c71350698759/41598_2018_33409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3892/6194079/c71350698759/41598_2018_33409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3892/6194079/c71350698759/41598_2018_33409_Fig1_HTML.jpg

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本文引用的文献

1
Homophyly/Kinship Model: Naturally Evolving Networks.同质性/亲属关系模型:自然演化网络。
Sci Rep. 2015 Oct 19;5:15140. doi: 10.1038/srep15140.
2
Measuring multiple evolution mechanisms of complex networks.测量复杂网络的多种演化机制。
Sci Rep. 2015 Jun 11;5:10350. doi: 10.1038/srep10350.
3
Emergence of soft communities from geometric preferential attachment.基于几何优先连接的软社区的出现。
Sci Rep. 2019 Mar 1;9(1):3322. doi: 10.1038/s41598-019-39705-1.
Sci Rep. 2015 Apr 29;5:9421. doi: 10.1038/srep09421.
4
Popularity versus similarity in growing networks.在不断发展的网络中,受欢迎程度和相似度。
Nature. 2012 Sep 27;489(7417):537-40. doi: 10.1038/nature11459. Epub 2012 Sep 12.
5
Social selection and peer influence in an online social network.社会选择和在线社交网络中的同辈影响。
Proc Natl Acad Sci U S A. 2012 Jan 3;109(1):68-72. doi: 10.1073/pnas.1109739109. Epub 2011 Dec 19.
6
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks.区分动态网络中基于影响的传播和基于相似性的扩散。
Proc Natl Acad Sci U S A. 2009 Dec 22;106(51):21544-9. doi: 10.1073/pnas.0908800106. Epub 2009 Dec 10.
7
Navigating networks by using homophily and degree.利用同质性和度数来导航网络。
Proc Natl Acad Sci U S A. 2008 Sep 2;105(35):12758-62. doi: 10.1073/pnas.0800497105. Epub 2008 Aug 25.
8
Generalizations of the clustering coefficient to weighted complex networks.聚类系数向加权复杂网络的推广。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Feb;75(2 Pt 2):027105. doi: 10.1103/PhysRevE.75.027105. Epub 2007 Feb 23.
9
Models of social networks based on social distance attachment.基于社会距离依恋的社会网络模型。
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Nov;70(5 Pt 2):056122. doi: 10.1103/PhysRevE.70.056122. Epub 2004 Nov 22.
10
Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations.具有局部规则的增长网络:优先连接、聚类层次结构和度相关性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 May;67(5 Pt 2):056104. doi: 10.1103/PhysRevE.67.056104. Epub 2003 May 7.