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In this letter, we study some evolution networks that grow with linear preferential attachment. Based upon some recent results on the quotient Gamma function, we give a rigorous proof of the asymptotic Mandelbrot law for the degree…

数据分析、统计与概率 · 物理学 2014-06-10 Li Li

By introducing the notions of living and dead nodes a new model of random tree evolution with continuous time parameter has been constructed. It is assumed that two random variables, the lifetime and the offspring number of living nodes…

统计力学 · 物理学 2007-05-23 L. Pal

Our work introduces an approach for estimating the contribution of attachment mechanisms to the formation of growing networks. We present a generic model in which growth is driven by the continuous attachment of new nodes according to…

概率论 · 数学 2019-02-20 Jan Medina , Jorge Finke , Camilo Rocha

We study the organization and dynamics of growing directed networks. These networks are built by adding nodes successively in such a way that each new node has $K$ directed links to the existing ones. The organization of a growing directed…

统计力学 · 物理学 2016-08-31 Baosheng Yuan , Kan Chen , Bing-Hong Wang

We consider the height of random k-trees and k-Apollonian networks. These random graphs are not really trees, but instead have a tree-like structure. The height will be the maximum distance of a vertex from the root. We show that w.h.p. the…

组合数学 · 数学 2014-09-23 Colin Cooper , Alan Frieze , Ryuhei Uehara

We investigate a self-interacting random walk, whose dynamically evolving environment is a random tree built by the walker itself, as it walks around. At time $n=1,2,\dots$, right before stepping, the walker adds a random number (possibly…

概率论 · 数学 2023-11-10 János Engländer , Giulio Iacobelli , Rodrigo Ribeiro

We study the asymptotic behaviour of the probability that a weighted sum of centered i.i.d. random variables X_k does not exceed a constant barrier. For regular random walks, the results follow easily from classical fluctuation theory,…

概率论 · 数学 2011-05-24 Frank Aurzada , Christoph Baumgarten

For each $n \ge 1$, let $\mathrm{d}^n=(d^{n}(i),1 \le i \le n)$ be a sequence of positive integers with even sum $\sum_{i=1}^n d^n(i) \ge 2n$. Let $(G_n,T_n,\Gamma_n)$ be uniformly distributed over the set of simple graphs $G_n$ with degree…

概率论 · 数学 2021-01-25 Louigi Addario-Berry , Jordan Barrett

We study fragmentation of a random recursive tree into a forest by repeated removal of nodes. The initial tree consists of N nodes and it is generated by sequential addition of nodes with each new node attaching to a randomly-selected…

统计力学 · 物理学 2014-12-25 Z. Kalay , E. Ben-Naim

We consider a regular $n$-ary tree of height $h$, for which every vertex except the root is labelled with an independent and identically distributed continuous random variable. Taking motivation from a question in evolutionary biology, we…

概率论 · 数学 2013-11-14 Matthew I. Roberts , Lee Zhuo Zhao

We investigate choice-driven network growth. In this model, nodes are added one by one according to the following procedure: for each addition event a set of target nodes is selected, each according to linear preferential attachment, and a…

统计力学 · 物理学 2014-07-25 P. L. Krapivsky , S. Redner

A family of models of growing hypergraphs with preferential rules of new linking is introduced and studied. The model hypergraphs evolve via the hyperedge-based growth as well as the node-based one, thus generalizing the…

物理与社会 · 物理学 2023-09-04 Dahae Roh , Kwang-Il Goh

We describe a procedure that allows continuously tuning the average degree $\langle k \rangle$ of uncorrelated networks with power-law degree distribution $p(k)$. Inn order to do this, we modify the low-$k$ region of $p(k)$, while…

统计力学 · 物理学 2022-03-23 Allan Vieira , Judson Moura , Celia Anteneodo

In this paper we consider a simple model of random graph process with {\it hard} copying as follows: At each time step $t$, with probability $0<\alpha\leq 1$ a new vertex $v_t$ is added and $m$ edges incident with $v_t$ are added in the…

概率论 · 数学 2008-08-05 Gao-Rong Ning , Xian-Yuan Wu , Kai-Yuan Cai

We examine a random model consisting of objects with positive weights and evolving in discrete time steps, which generalizes certain random graph models. We prove almost sure convergence for the weight distribution and show scale-free…

概率论 · 数学 2014-11-10 Ágnes Backhausz , Tamás F. Móri

The analysis in this paper helps to explain the formation of growing networks with degree distributions that follow extended exponential or power-law tails. We present a generic model in which edge dynamics are driven by a continuous…

物理与社会 · 物理学 2020-11-12 Jan Medina-López , Jorge Finke

We consider events over the probability space generated by the degree sequences of multiple independent Erd\H{o}s-R\'enyi random graphs, and consider an approximation probability space where such degree sequences are deemed to be sequences…

We consider the asymptotics of various estimators based on a large sample of branching trees from a critical multi-type Galton-Watson process, as the sample size increases to infinity. The asymptotics of additive functions of trees, such as…

概率论 · 数学 2007-05-23 Zhiyi Chi

We prove that the decreasing rearrangement of a dyadic A1 weight w with dyadic A1 constant [w]_{1,T}=c with respect to a tree T of homogeneity k,on a non-atomic probability space, is a usual A1 weight on (0,1] with A1 constant not more than…

泛函分析 · 数学 2012-08-01 Eleftherios Nikolidakis

A random network is grown by introducing at unit rate randomly selected nodes on the Euclidean space. A node is randomly connected to its $i$-th predecessor of degree $k_i$ with a directed link of length $\ell$ using a probability…

统计力学 · 物理学 2009-11-07 S. S. Manna , Parongama Sen