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Prediction and control of the dynamics of complex networks is a central problem in network science. Structural and dynamical similarities of different real networks suggest that some universal laws might accurately describe the dynamics of…

广义相对论与量子宇宙学 · 物理学 2012-11-28 Dmitri Krioukov , Maksim Kitsak , Robert S. Sinkovits , David Rideout , David Meyer , Marian Boguna

Can the direction of time and the causal structure of space-time be inferred from operational principles? Causal models and tensor networks offer complementary perspectives: the former encodes cause-effect relations via directed graphs,…

量子物理 · 物理学 2026-03-16 Carla Ferradini , Giulia Mazzola , V. Vilasini

Linear structural equation models represent direct causal effects as directed edges and confounding factors as bidirected edges. An open problem is to identify the causal parameters from correlations between the nodes. We investigate…

人工智能 · 计算机科学 2022-03-07 Benito van der Zander , Marcel Wienöbst , Markus Bläser , Maciej Liśkiewicz

Area metric manifolds emerge as a refinement of symplectic and metric geometry in four dimensions, where in numerous situations of physical interest they feature as effective matter backgrounds. In this article, this prompts us to identify…

高能物理 - 理论 · 物理学 2011-03-28 Frederic P. Schuller , Christof Witte , Mattias N. R. Wohlfarth

Transport through generalized trees is considered. Trees contain the simple nodes and supernodes, either well-structured regular subgraphs or those with many triangles. We observe a superdiffusion for the highly connected nodes while it is…

无序系统与神经网络 · 物理学 2009-11-11 D. Volchenkov , Ph. Blanchard

Arboreal networks are a generalization of rooted trees, defined by keeping the tree-like structure, but dropping the requirement for a single root. Just as the class of cographs is precisely the class of undirected graphs that can be…

组合数学 · 数学 2025-02-13 Guillaume E. Scholz

The goal of this work is to decompose random populations with a genealogy in subfamilies of a given degree of kinship and to obtain a notion of infinitely divisible genealogies. We model the genealogical structure of a population by…

概率论 · 数学 2019-04-09 Patrick Gloede , Andreas Greven , Thomas Rippl

We consider growing random recursive trees in random environment, in which at each step a new vertex is attached (by an edge of a random length) to an existing tree vertex according to a probability distribution that assigns the tree…

概率论 · 数学 2007-05-23 Konstantin Borovkov , Vladimir Vatutin

We define and study a model of winding for non-colliding particles in finite trees. We prove that the asymptotic behavior of this statistic satisfies a central limiting theorem, analogous to similar results on winding of bounded particles…

组合数学 · 数学 2020-04-03 David A. Levin , Eric Ramos , Benjamin Young

Motivated by the study of random temporal networks, we introduce a class of random trees that we coin \emph{uniform temporal trees}. A uniform temporal tree is obtained by assigning independent uniform $[0,1]$ labels to the edges of a…

概率论 · 数学 2025-01-23 Caelan Atamanchuk , Luc Devroye , Gabor Lugosi

We prove that the uniform unlabelled unrooted tree with n vertices and vertex degrees in a fixed set converges in the Gromov-Hausdorff sense after a suitable rescaling to the Brownian continuum random tree. This proves a conjecture by…

概率论 · 数学 2016-12-15 Benedikt Stufler

We consider planar rooted random trees whose distribution is even for fixed height $h$ and size $N$ and whose height dependence is given by a power function $h^\alpha$. Defining the total weight for such trees of fixed size to be $Z_N$, a…

概率论 · 数学 2023-04-05 Bergfinnur Durhuus , Meltem Ünel

Consider the d-dimensional lattice Z^d where each vertex is ``open'' or ``closed'' with probability p or 1-p, respectively. An open vertex v is connected by an edge to the closest open vertex w such that the dth co-ordinates of v and w…

概率论 · 数学 2016-09-07 Sreela Gangopadhyay , Rahul Roy , Anish Sarkar

We present Causal Generative Neural Networks (CGNNs) to learn functional causal models from observational data. CGNNs leverage conditional independencies and distributional asymmetries to discover bivariate and multivariate causal…

Causal inference is central to statistics and scientific discovery, enabling researchers to identify cause-and-effect relationships beyond associations. While traditionally studied within Euclidean spaces, contemporary applications…

统计方法学 · 统计学 2025-07-01 Satarupa Bhattacharjee , Bing Li , Xiao Wu , Lingzhou Xue

We introduce two operads which own the set of planar forests as a basis. With its usual product and two other products defined by different types of graftings, the algebra of planar rooted trees H becomes an algebra over these operads. The…

环与代数 · 数学 2009-01-16 Loïc Foissy

We introduce some new symmetric tensor categories based on the combinatorics of trees: a discrete family $\mathcal{D}(n)$, for $n \ge 3$ an integer, and a continuous family $\mathcal{C}(t)$, for $t \ne 1$ a complex number. The construction…

表示论 · 数学 2024-03-19 Nate Harman , Ilia Nekrasov , Andrew Snowden

We destroy a finite tree of size $n$ by cutting its edges one after the other and in uniform random order. Informally, the associated cut-tree describes the genealogy of the connected components created by this destruction process. We…

概率论 · 数学 2016-07-20 Gabriel Berzunza

The pattern of formation of resonant frequency clusters in idealized sympodial dichasium trees is revealed by numerical modeling and analysis. The larger cluster's cardinality correlates with that of a Small World Network, which share the…

统计力学 · 物理学 2022-03-07 Francesco Danzi , James M. Gibert

We present a version of the weighted cellular matrix-tree theorem that is suitable for calculating explicit generating functions for spanning trees of highly structured families of simplicial and cell complexes. We apply the result to give…

组合数学 · 数学 2018-07-24 Ghodratollah Aalipour , Art M. Duval , Woong Kook , Kang-Ju Lee , Jeremy L. Martin