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Related papers: Parallel Random Apollonian Networks

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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 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

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 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…

Other Condensed Matter · Physics 2015-06-25 Zhongzhi Zhang , Francesc Comellas , Guillaume Fertin , Lili Rong

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, 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

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

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…

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

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…

Combinatorics · Mathematics 2007-12-14 Olivier Bodini , Alexis Darrasse , Michèle Soria

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…

Physics and Society · Physics 2016-02-12 Garvin Haslett , Seth Bullock , Markus Brede

We introduce a general deterministic model for Apollonian Networks in an iterative fashion. The networks have small-world effect and scale-free topology. We calculate the exact results for the degree exponent, the clustering coefficient and…

Statistical Mechanics · Physics 2007-05-23 Zhongzhi Zhang , Lili Rong

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 investigate several properties of high-dimensional random Apollonian networks (HDRANs), including two types of degree profiles, the small-world effect (clustering property), sparsity, and three distance-based metrics.…

Probability · Mathematics 2020-09-28 Panpan Zhang

The parallel computational complexity or depth of growing network models is investigated. The networks considered are generated by preferential attachment rules where the probability of attaching a new node to an existing node is given by a…

Statistical Mechanics · Physics 2009-11-10 Benjamin Machta , Jonthan Machta

We present a family of networks, expanded deterministic Apollonian networks, which are a generalization of the Apollonian networks and are simultaneously scale-free, small-world, and highly clustered. We introduce a labeling of their…

Physics and Society · Physics 2011-11-09 Zhongzhi Zhang , Francesc Comellas , Guillaume Fertin , André Raspaud , Lili Rong , Shuigeng Zhou

We introduce a simple one-parameter network growth algorithm which is able to reproduce a wide variety of realistic network structures but without having to invoke any global information about node degrees such as preferential-attachment…

Statistical Mechanics · Physics 2007-05-23 David M. D. Smith , Chiu Fan Lee , Neil F. Johnson

In this work we analyze basic properties of Random Apollonian Networks \cite{zhang,zhou}, a popular stochastic model which generates planar graphs with power law properties. Specifically, let $k$ be a constant and $\Delta_1 \geq \Delta_2…

Social and Information Networks · Computer Science 2011-06-10 Alan Frieze , Charalampos E. Tsourakakis

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 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…

Disordered Systems and Neural Networks · Physics 2024-05-28 Eduardo M. K. Souza , Guilherme M. A. Almeida

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…

Computational Physics · Physics 2009-11-11 Jian-Guo Liu , Yan-Zhong Dang , Zhong-tuo Wang
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