Shannon entropy in time-varying semantic networks of titles of scientific paper
Abstract Recent work has employed information theory in social and complex networks. Studies often discuss entropy in the degree distributions of a network. However, no specific work on entropy exists in clique networks. This work is an extension of a previous study that discussed this topic. We pro...
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doaj-57d6882a9034412f95922412719254462020-11-25T03:30:17ZengSpringerOpenApplied Network Science2364-82282020-08-015111710.1007/s41109-020-00292-0Shannon entropy in time-varying semantic networks of titles of scientific paperMarcelo do Vale Cunha0Carlos Cesar Ribeiro Santos1Marcelo Albano Moret2Hernane Borges de Barros Pereira3Programa de Modelagem Computacional, Centro Universitário Senai CimatecPrograma de Modelagem Computacional, Centro Universitário Senai CimatecPrograma de Modelagem Computacional, Centro Universitário Senai CimatecPrograma de Modelagem Computacional, Centro Universitário Senai CimatecAbstract Recent work has employed information theory in social and complex networks. Studies often discuss entropy in the degree distributions of a network. However, no specific work on entropy exists in clique networks. This work is an extension of a previous study that discussed this topic. We propose a method for calculating the entropy of a clique network and its minimum and maximum values in temporal semantic networks based on titles of scientific papers. In addition, the critical network of moments was extracted. We use the titles of scientific papers published in Nature and Science over ten-year period. The results show the diversity of vocabulary over time, based on the entropy values of vertices and edges. In each critical network, we discover the paths that connect important words and an interesting modular structure.http://link.springer.com/article/10.1007/s41109-020-00292-0Networks of cliquesShannon entropyTime–varying graphsSemantic networksNetwork theory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcelo do Vale Cunha Carlos Cesar Ribeiro Santos Marcelo Albano Moret Hernane Borges de Barros Pereira |
spellingShingle |
Marcelo do Vale Cunha Carlos Cesar Ribeiro Santos Marcelo Albano Moret Hernane Borges de Barros Pereira Shannon entropy in time-varying semantic networks of titles of scientific paper Applied Network Science Networks of cliques Shannon entropy Time–varying graphs Semantic networks Network theory |
author_facet |
Marcelo do Vale Cunha Carlos Cesar Ribeiro Santos Marcelo Albano Moret Hernane Borges de Barros Pereira |
author_sort |
Marcelo do Vale Cunha |
title |
Shannon entropy in time-varying semantic networks of titles of scientific paper |
title_short |
Shannon entropy in time-varying semantic networks of titles of scientific paper |
title_full |
Shannon entropy in time-varying semantic networks of titles of scientific paper |
title_fullStr |
Shannon entropy in time-varying semantic networks of titles of scientific paper |
title_full_unstemmed |
Shannon entropy in time-varying semantic networks of titles of scientific paper |
title_sort |
shannon entropy in time-varying semantic networks of titles of scientific paper |
publisher |
SpringerOpen |
series |
Applied Network Science |
issn |
2364-8228 |
publishDate |
2020-08-01 |
description |
Abstract Recent work has employed information theory in social and complex networks. Studies often discuss entropy in the degree distributions of a network. However, no specific work on entropy exists in clique networks. This work is an extension of a previous study that discussed this topic. We propose a method for calculating the entropy of a clique network and its minimum and maximum values in temporal semantic networks based on titles of scientific papers. In addition, the critical network of moments was extracted. We use the titles of scientific papers published in Nature and Science over ten-year period. The results show the diversity of vocabulary over time, based on the entropy values of vertices and edges. In each critical network, we discover the paths that connect important words and an interesting modular structure. |
topic |
Networks of cliques Shannon entropy Time–varying graphs Semantic networks Network theory |
url |
http://link.springer.com/article/10.1007/s41109-020-00292-0 |
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