Edge crossings in random linear arrangements

In spatial networks vertices are arranged in some space and edges may cross. When arranging vertices in a 1D lattice edges may cross when drawn above the vertex sequence as it happens in linguistic and biological networks. Here we investigate the general problem of the distribution of edge crossings...

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Detalles Bibliográficos
Autores: Alemany Puig, Lluís|||0000-0002-3874-991X, Ferrer Cancho, Ramon|||0000-0002-7820-923X
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/332342
Acceso en línea:https://hdl.handle.net/2117/332342
https://dx.doi.org/10.1088/1742-5468/ab6845
Access Level:acceso abierto
Palabra clave:Graph theory
Random graphs
Networks
Crossings in linear arrangements
Variance of crossings
Grafs, Teoria de
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica
Descripción
Sumario:In spatial networks vertices are arranged in some space and edges may cross. When arranging vertices in a 1D lattice edges may cross when drawn above the vertex sequence as it happens in linguistic and biological networks. Here we investigate the general problem of the distribution of edge crossings in random arrangements of the vertices. We generalize the existing formula for the expectation of this number in random linear arrangements of trees to any network and derive an expression for the variance of the number of crossings in an arbitrary layout relying on a novel characterization of the algebraic structure of that variance in an arbitrary space. We provide compact formulae for the expectation and the variance in complete graphs, complete bipartite graphs, cycle graphs, one-regular graphs and various kinds of trees (star trees, quasi-star trees and linear trees). In these networks, the scaling of expectation and variance as a function of network size is asymptotically power-law-like in random linear arrangements. Our work paves the way for further research and applications in one-dimension or investigating the distribution of the number of crossings in lattices of higher dimension or other embeddings.