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What Is the Entropy of a Social Organization?
We quantify a social organization’s potentiality, that is, its ability to attain different configurations. The organization is represented as a network in which nodes correspond to individuals and (multi-)edges to their multiple interactions. Attainable configurations are treated as realizations fro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515430/ http://dx.doi.org/10.3390/e21090901 |
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author | Zingg, Christian Casiraghi, Giona Vaccario, Giacomo Schweitzer, Frank |
author_facet | Zingg, Christian Casiraghi, Giona Vaccario, Giacomo Schweitzer, Frank |
author_sort | Zingg, Christian |
collection | PubMed |
description | We quantify a social organization’s potentiality, that is, its ability to attain different configurations. The organization is represented as a network in which nodes correspond to individuals and (multi-)edges to their multiple interactions. Attainable configurations are treated as realizations from a network ensemble. To have the ability to encode interaction preferences, we choose the generalized hypergeometric ensemble of random graphs, which is described by a closed-form probability distribution. From this distribution we calculate Shannon entropy as a measure of potentiality. This allows us to compare different organizations as well as different stages in the development of a given organization. The feasibility of the approach is demonstrated using data from three empirical and two synthetic systems. |
format | Online Article Text |
id | pubmed-7515430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75154302020-11-09 What Is the Entropy of a Social Organization? Zingg, Christian Casiraghi, Giona Vaccario, Giacomo Schweitzer, Frank Entropy (Basel) Article We quantify a social organization’s potentiality, that is, its ability to attain different configurations. The organization is represented as a network in which nodes correspond to individuals and (multi-)edges to their multiple interactions. Attainable configurations are treated as realizations from a network ensemble. To have the ability to encode interaction preferences, we choose the generalized hypergeometric ensemble of random graphs, which is described by a closed-form probability distribution. From this distribution we calculate Shannon entropy as a measure of potentiality. This allows us to compare different organizations as well as different stages in the development of a given organization. The feasibility of the approach is demonstrated using data from three empirical and two synthetic systems. MDPI 2019-09-17 /pmc/articles/PMC7515430/ http://dx.doi.org/10.3390/e21090901 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zingg, Christian Casiraghi, Giona Vaccario, Giacomo Schweitzer, Frank What Is the Entropy of a Social Organization? |
title | What Is the Entropy of a Social Organization? |
title_full | What Is the Entropy of a Social Organization? |
title_fullStr | What Is the Entropy of a Social Organization? |
title_full_unstemmed | What Is the Entropy of a Social Organization? |
title_short | What Is the Entropy of a Social Organization? |
title_sort | what is the entropy of a social organization? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515430/ http://dx.doi.org/10.3390/e21090901 |
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