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In this letter, we propose a simple rule that generates scale-free networks with very large clustering coefficient and very small average distance. These networks are called {\bf Random Apollonian Networks}(RANs) as they can be considered…

无序系统与神经网络 · 物理学 2007-05-23 Tao Zhou , Gang Yan , Pei-Ling Zhou , Zhong-Qian Fu , Bing-Hong Wang

In this paper, a simply rule that generates scale-free networks with very large clustering coefficient and very small average distance is presented. These networks are called {\bf Multistage Random Growing Networks}(MRGN) as the adding…

计算物理 · 物理学 2009-11-11 Jian-Guo Liu , Yan-Zhong Dang , Zhong-tuo Wang

In this paper, by both simulations and theoretical predictions we study two and three node (or degree) correlations in random Apollonian network (RAN), which have small-world and scale-free topologies. Using the rate equation approach under…

统计力学 · 物理学 2007-05-23 Zhongzhi Zhang , Shuigeng Zhou

We present and study in this paper a simple algorithm that produces so called growing Parallel Random Apollonian Networks (P-RAN) in any dimension d. Analytical derivations show that these networks still exhibit small-word and scale-free…

离散数学 · 计算机科学 2009-04-30 Nicolas Bonnel , Pierre-François Marteau , Gildas G. Ménier

We propose a simple algorithm which produces a new category of networks, high dimensional random Apollonian networks, with small-world and scale-free characteristics. We derive analytical expressions for their degree distributions and…

其他凝聚态物理 · 物理学 2009-11-11 Zhongzhi Zhang , Lili Rong , Francesc Comellas

In this paper we introduce a model of spatial network growth in which nodes are placed at randomly selected locations on a unit square in $\mathbb{R}^2$, forming new connections to old nodes subject to the constraint that edges do not…

物理与社会 · 物理学 2016-02-12 Garvin Haslett , Seth Bullock , Markus Brede

We propose two types of evolving networks: evolutionary Apollonian networks (EAN) and general deterministic Apollonian networks (GDAN), established by simple iteration algorithms. We investigate the two networks by both simulation and…

统计力学 · 物理学 2007-05-23 Zhongzhi Zhang , Lili Rong , Shuigeng Zhou

This paper studies Random and Evolving Apollonian networks (RANs and EANs), in d dimension for any d>=2, i.e. dynamically evolving random d dimensional simplices looked as graphs inside an initial d-dimensional simplex. We determine the…

概率论 · 数学 2023-09-19 István Kolossváry , Júlia Komjáthy , Lajos Vágó

Experimentally observed complex networks are often scale-free, small-world and have unexpectedly large number of small cycles. Apollonian network is one notable example of a model network respecting simultaneously having all three of these…

统计力学 · 物理学 2021-06-03 M. V. Tamm , D. G. Koval , V. I. Stadnichuk

We propose a simple rule that generates scale-free networks with very large clustering coefficient and very small average distance. These networks are called simplex triangulation networks(STNs) as they can be considered as a kind of…

统计力学 · 物理学 2007-05-23 Zhi-Ming Gu , Tao Zhou , Bing-Hong Wang , Gang Yan , Chen-Ping Zhu , Zhong-Qian Fu

In this paper, we present a simple model of scale-free networks that incorporates both preferential & random attachment and anti-preferential & random deletion at each time step. We derive the degree distribution analytically and show that…

数据分析、统计与概率 · 物理学 2007-05-23 Dinghua Shi , Xiang Zhu , Liming Liu

Recently there have been a tremendous interest in models of networks with a power-law distribution of degree -- so called "scale-free networks." It has been observed that such networks, normally, have extremely short path-lengths, scaling…

无序系统与神经网络 · 物理学 2007-05-23 Petter Holme

We introduce a family of complex networks that interpolates between the Apollonian network and its binary version, recently introduced in [Phys. Rev. E \textbf{107}, 024305 (2023)], via random removal of nodes. The dilution process allows…

无序系统与神经网络 · 物理学 2024-05-28 Eduardo M. K. Souza , Guilherme M. A. Almeida

Many real networks share three generic properties: they are scale-free, display a small-world effect, and show a power-law strength-degree correlation. In this paper, we propose a type of deterministically growing networks called Sierpinski…

物理与社会 · 物理学 2007-07-16 Zhongzhi Zhang , Shuigeng Zhou , Lujun Fang , Jihong Guan , Yichao Zhang

We propose a model for growing networks based on a finite memory of the nodes. The model shows stylized features of real-world networks: power law distribution of degree, linear preferential attachment of new links and a negative…

凝聚态物理 · 物理学 2009-11-07 Konstantin Klemm , Victor M. Eguiluz

In the context of growing networks, we introduce a simple dynamical model that unifies the generic features of real networks: scale-free distribution of degree and the small world effect. While the average shortest path length increases…

凝聚态物理 · 物理学 2009-11-07 Konstantin Klemm , Victor M. Eguiluz

Many real-world networks exhibit scale-free feature, have a small diameter and a high clustering tendency. We have studied the properties of a growing network, which has all these features, in which an incoming node is connected to its…

统计力学 · 物理学 2009-11-10 Parongama Sen , S. S. Manna

In this paper, we study the distribution of distances in random Apollonian network structures (RANS), a family of graphs which has a one-to-one correspondence with planar ternary trees. Using multivariate generating functions that express…

组合数学 · 数学 2007-12-14 Olivier Bodini , Alexis Darrasse , Michèle Soria

Complex networks have abundant and extensive applications in real life. Recently, researchers have proposed a number of complex networks, in which some are deterministic and others are random. Compared with deterministic networks, random…

物理与社会 · 物理学 2020-11-02 Xiaomin Wang , Fei Ma

We propose a simple algorithm which produces high dimensional Apollonian networks with both small-world and scale-free characteristics. We derive analytical expressions for the degree distribution, the clustering coefficient and the…

其他凝聚态物理 · 物理学 2015-06-25 Zhongzhi Zhang , Francesc Comellas , Guillaume Fertin , Lili Rong
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