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Related papers: Distances in random Apollonian network structures

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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…

Disordered Systems and Neural Networks · Physics 2007-05-23 Tao Zhou , Gang Yan , Pei-Ling Zhou , Zhong-Qian Fu , Bing-Hong Wang

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…

Probability · Mathematics 2023-09-19 István Kolossváry , Júlia Komjáthy , Lajos Vágó

In this paper we find an exact analytical expression for the number of spanning trees in Apollonian networks. This parameter can be related to significant topological and dynamic properties of the networks, including percolation, epidemic…

Combinatorics · Mathematics 2014-01-21 Zhongzhi Zhang , Bin Wu , Francesc Comellas

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…

Discrete Mathematics · Computer Science 2009-04-30 Nicolas Bonnel , Pierre-François Marteau , Gildas G. Ménier

We propose a consistent approach to the statistics of the shortest paths in random graphs with a given degree distribution. This approach goes further than a usual tree ansatz and rigorously accounts for loops in a network. We calculate the…

Statistical Mechanics · Physics 2010-04-05 S. N. Dorogovtsev , J. F. F. Mendes , A. N. Samukhin

We carry out comparative studies of random walks on deterministic Apollonian networks (DANs) and random Apollonian networks (RANs). We perform computer simulations for the mean first passage time, the average return time, the mean-square…

Statistical Mechanics · Physics 2007-05-23 Zi-Gang Huang , Xin-Jian Xu , Zhi-Xi Wu , Ying-Hai Wang

We consider the following iterative construction of a random planar triangulation. Start with a triangle embedded in the plane. In each step, choose a bounded face uniformly at random, add a vertex inside that face and join it to the…

In this article, 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}(RAN) as they can be considered…

Statistical Mechanics · Physics 2009-11-10 Tao Zhou , Gang Yan , Bing-Hong Wang

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…

Other Condensed Matter · Physics 2009-11-11 Zhongzhi Zhang , Lili Rong , Francesc Comellas

In this paper we study the toughness of Random Apollonian Networks (RANs), a random graph model which generates planar graphs with power-law properties. We consider their important characteristics: every RAN is a uniquely representable…

Combinatorics · Mathematics 2020-02-24 Lilian Markenzon , Christina F. E. M. Waga

Spatial networks are networks where nodes are located in a space equipped with a metric. Typically, the space is two-dimensional and until recently and traditionally, the metric that was usually considered was the Euclidean distance. In…

Combinatorics · Mathematics 2022-11-29 Ramon Ferrer-i-Cancho

The distributions of the random distances associated with hexagons, rhombuses and triangles have been derived and verified in the existing work. All of these geometric shapes are related to each other and have various applications in…

General Mathematics · Mathematics 2013-07-05 Maryam Ahmadi , Jianping Pan

Random geometric graphs are a popular choice for a latent points generative model for networks. Their definition is based on a sample of $n$ points $X_1,X_2,\cdots,X_n$ on the Euclidean sphere~$\mathbb{S}^{d-1}$ which represents the latent…

Machine Learning · Statistics 2019-09-17 Ernesto Araya , Yohann De Castro

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…

Statistical Mechanics · Physics 2021-06-03 M. V. Tamm , D. G. Koval , V. I. Stadnichuk

In graph analysis, a classic task consists in computing similarity measures between (groups of) nodes. In latent space random graphs, nodes are associated to unknown latent variables. One may then seek to compute distances directly in the…

Machine Learning · Statistics 2022-01-12 Nicolas Keriven

We compute a number of distance-dependent universal scaling functions characterizing the distance statistics of large maps of genus one. In particular, we obtain explicitly the probability distribution for the length of the shortest…

Mathematical Physics · Physics 2010-07-01 E. Guitter

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…

Statistical Mechanics · Physics 2007-05-23 Zhongzhi Zhang , Shuigeng Zhou

In this report, the explicit probability density functions of the random Euclidean distances associated with equilateral triangles are given, when the two endpoints of a link are randomly distributed in 1) the same triangle, 2) two adjacent…

General Mathematics · Mathematics 2013-07-04 Yanyan Zhuang , Jianping Pan

In this report, the explicit probability density functions of the random Euclidean distances associated with regular hexagons are given, when the two endpoints of a link are randomly distributed in the same hexagon, and two adjacent…

General Mathematics · Mathematics 2021-01-26 Yanyan Zhuang , Jianping Pan

We analyze the asymptotic behavior of the degree sequence of Random Apollonian Networks \cite{maximal}. For previous weaker results see \cite{comment,maximal}.

Social and Information Networks · Computer Science 2011-06-13 Charalampos E. Tsourakakis
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