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Bibliographic Details
Main Author: Krapivsky, P. L.
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2309.08834
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author Krapivsky, P. L.
author_facet Krapivsky, P. L.
contents A map of a set to itself admits a representation by a graph with vertices being the elements of the set and an edge between every vertex and its image. Communities defined as the maximal connected components are uni-cyclic. The distributions of the sizes of communities and lengths of cycles for unconstrained random maps is a classical subject. We call experts the images and followers the remaining vertexes, and we further define prophets, egocentrics, and introverts. We introduce and analyze classes of random maps with sociological flavor.
format Preprint
id arxiv_https___arxiv_org_abs_2309_08834
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Random Maps with Sociological Flavor
Krapivsky, P. L.
Combinatorics
Statistical Mechanics
Physics and Society
A map of a set to itself admits a representation by a graph with vertices being the elements of the set and an edge between every vertex and its image. Communities defined as the maximal connected components are uni-cyclic. The distributions of the sizes of communities and lengths of cycles for unconstrained random maps is a classical subject. We call experts the images and followers the remaining vertexes, and we further define prophets, egocentrics, and introverts. We introduce and analyze classes of random maps with sociological flavor.
title Random Maps with Sociological Flavor
topic Combinatorics
Statistical Mechanics
Physics and Society
url https://arxiv.org/abs/2309.08834