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We present an evolving network model in which the total numbers of nodes and edges are conserved, but in which edges are continuously rewired according to nonlinear preferential detachment and reattachment. Assuming power-law kernels with…

适应与自组织系统 · 物理学 2010-01-27 Samuel Johnson , Joaquin J. Torres , Joaquin Marro

We investigate the relation between degree sequences of trees and the majorization order using the Muirhead theorem. In this way, we prove a theorem that provides a necessary and sufficient condition for delta sequences of trees to be…

组合数学 · 数学 2024-07-22 Leo Egghe , Ronald Rousseau

We provide a local probabilistic description of the limiting statistics of large preferential attachment trees in terms of the ordinary degree (number of neighbors) but augmented with information on leafdegree (number of neighbors that are…

统计力学 · 物理学 2026-02-03 Harrison Hartle , P. L. Krapivsky

In this paper, we abstract a kind of stochastic processes from evolving processes of growing networks, this process is called growing network Markov chains. Thus the existence and the formulas of degree distribution are transformed to the…

数学物理 · 物理学 2015-05-13 Zhenting Hou , Xiangxing Kong , Dinghua Shi , Guanrong Chen , Qinggui Zhao

We introduce a new family of models for growing networks. In these networks new edges are attached preferentially to vertices with higher number of connections, and new vertices are created by already existing ones, inheriting part of their…

统计力学 · 物理学 2009-11-07 S. N. Dorogovtsev , A. N. Samukhin , J. F. F. Mendes

Complex networks in different areas exhibit degree distributions with heavy upper tail. A preferential attachment mechanism in a growth process produces a graph with this feature. We herein investigate a variant of the simple preferential…

概率论 · 数学 2018-04-18 Angelica Pachon , Laura Sacerdote , Shuyi Yang

Complex bufferless networks such as on-chip networks and optical burst switching networks haven't been paid enough attention in network science. In complex bufferless networks, the store and forward mechanism is not applicable, since the…

网络与互联网体系结构 · 计算机科学 2017-08-18 Cunlai Pu , Wei Cui , Jiexin Wu , Jian Yang

We present a detailed analysis of the Connecting Nearest Neighbors (CNN) model by V\'azquez. We show that the degree distribution follows a power law, but the scaling exponent can vary with the parameter setting. Moreover, the…

物理与社会 · 物理学 2016-08-11 Boris Rudolf , Mária Markošová , Martin Čajági , Peter Tiňo

Control of multihop Wireless networks in a distributed manner while providing end-to-end delay requirements for different flows, is a challenging problem. Using the notions of Draining Time and Discrete Review from the theory of fluid…

网络与互联网体系结构 · 计算机科学 2017-04-20 Ashok Krishnan K. S. , Vinod Sharma

We derive a modular fluid-flow network congestion control model based on a law of fundamental nature in networks: the conservation of information. Network elements such as queues, users, and transmission channels and network performance…

网络与互联网体系结构 · 计算机科学 2016-11-18 C. Briat , E. A. Yavuz , H. Hjalmarsson , K. H. Johansson , U. T. Jönsson , G. Karlsson , H. Sandberg

Leaves, i.e., vertices of degree one, can play a significant role in graph structure, especially in sparsely connected settings in which leaves often constitute the largest fraction of vertices. We consider a leaf-based counterpart of the…

统计力学 · 物理学 2025-11-07 Harrison Hartle , P. L. Krapivsky

Criticism of Gnutella network scalability has rested on the bandwidth attributes of the original interconnection topology: a Cayley tree. Trees, in general, are known to have lower aggregate bandwidth than higher dimensional topologies…

性能 · 计算机科学 2022-03-07 N. J. Gunther

Many biological networks have been labelled scale-free as their degree distribution can be approximately described by a powerlaw distribution. While the degree distribution does not summarize all aspects of a network it has often been…

分子网络 · 定量生物学 2007-05-23 M. P. H. Stumpf , P. J. Ingram , I. Nouvel , C. Wiuf

In this paper we provide numerical evidence of the richer behavior of the connectivity degrees in heterogeneous preferential attachment networks in comparison to their homogeneous counterparts. We analyze the degree distribution in the…

其他凝聚态物理 · 物理学 2009-11-13 A. Santiago , R. M. Benito

We introduce a family of one-dimensional geometric growth models, constructed iteratively by locally optimizing the tradeoffs between two competing metrics, and show that this family is equivalent to a family of preferential attachment…

无序系统与神经网络 · 物理学 2007-05-23 N. Berger , C. Borgs , J. T. Chayes , R. M. D'Souza , R. D. Kleinberg

We consider distributed networks, such as peer-to-peer networks, whose structure can be manipulated by adjusting the rules by which vertices enter and leave the network. We focus in particular on degree distributions and show that, with…

物理与社会 · 物理学 2007-10-18 Gourab Ghoshal , M. E. J. Newman

Nowadays distributed computing approach has become very popular due to several advantages over the centralized computing approach as it also offers high performance computing at a very low cost. Each router implements some queuing mechanism…

网络与互联网体系结构 · 计算机科学 2019-10-10 Taskeen Zaidi , Nitya Nand Dwivedi

This paper introduces a method to generate hierarchically modular networks with prescribed node degree list and proposes a metric to measure network modularity based on the notion of edge distance. The generated networks are used as test…

神经与进化计算 · 计算机科学 2009-03-17 Susan Khor

Identifying the generating mechanism of a network is challenging as, more often than not, only snapshots are available, but not the full evolution. One candidate for the generating mechanism is preferential attachment which, in its simplest…

统计方法学 · 统计学 2025-10-07 Thomas Boughen , Clement Lee , Vianey Palacios Ramirez

Complex systems, ranging from soft materials to wireless communication, are often organised as random geometric networks in which nodes and edges evenly fill up the volume of some space. Studying such networks is difficult because they…

概率论 · 数学 2022-07-19 Ivan Kryven , Rik Versendaal