The dynamics of coupled logistic social groups

M McCartney; DH Glass

doi:10.1016/j.physa.2015.01.071

The dynamics of coupled logistic social groups

M McCartney, DH Glass

Research output: Contribution to journal › Article › peer-review

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Abstract

A society made up of a network of social groups is investigated. Each group is partitioned into two mutually exclusive subsets with the movement of members between the two subsets being modelled via a logistic-like equation. We consider various ways in which the groups in the network may influence each other, via both group size and the utility groups place on the possible subsets. Scenarios where social groups act as ‘agenda setters’ for the rest of the society are considered. A number of analytic and numerical results are presented.

Original language	English
Pages (from-to)	141-154
Number of pages	14
Journal	Physica A: Statistical Mechanics and its Applications
Volume	427
Early online date	7 Feb 2015
DOIs	https://doi.org/10.1016/j.physa.2015.01.071
Publication status	Published (in print/issue) - 1 Jun 2015

Keywords

Social groups
Logistic model
Complex networks

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10.1016/j.physa.2015.01.071

draft_social_groups_for_repositoryAuthor Accepted Manuscript, 7.64 MB

Cite this

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title = "The dynamics of coupled logistic social groups",

abstract = "A society made up of a network of social groups is investigated. Each group is partitioned into two mutually exclusive subsets with the movement of members between the two subsets being modelled via a logistic-like equation. We consider various ways in which the groups in the network may influence each other, via both group size and the utility groups place on the possible subsets. Scenarios where social groups act as {\textquoteleft}agenda setters{\textquoteright} for the rest of the society are considered. A number of analytic and numerical results are presented.",

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AB - A society made up of a network of social groups is investigated. Each group is partitioned into two mutually exclusive subsets with the movement of members between the two subsets being modelled via a logistic-like equation. We consider various ways in which the groups in the network may influence each other, via both group size and the utility groups place on the possible subsets. Scenarios where social groups act as ‘agenda setters’ for the rest of the society are considered. A number of analytic and numerical results are presented.

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KW - Logistic model

KW - Complex networks

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ER -

The dynamics of coupled logistic social groups

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Mark Mc Cartney

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The dynamics of coupled logistic social groups

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Mark Mc Cartney

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