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Influential nodes identification in complex networks: a comprehensive literature review
Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting infl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927061/ https://www.ncbi.nlm.nih.gov/pubmed/36819294 http://dx.doi.org/10.1186/s43088-023-00357-w |
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author | Ait Rai, Khaoula Machkour, Mustapha Antari, Jilali |
author_facet | Ait Rai, Khaoula Machkour, Mustapha Antari, Jilali |
author_sort | Ait Rai, Khaoula |
collection | PubMed |
description | Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. |
format | Online Article Text |
id | pubmed-9927061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-99270612023-02-15 Influential nodes identification in complex networks: a comprehensive literature review Ait Rai, Khaoula Machkour, Mustapha Antari, Jilali Beni Suef Univ J Basic Appl Sci Review Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In this study, we provide a brief overview of complex networks, as well as several concepts key related to measurements, the structure of complex network and social influence, an important state of the art on complex networks including basic metrics on complex networks, the evolution of their topology over the years as well as the dynamic of networks. A detailed literature about influential finding approaches is also provided to indicate their strength and shortcomings. We aim that our contribution of literature can be an interesting base of information for beginners’ scientists in this field. At the end of this paper, some conclusions are drawn and some future perspectives are mentioned to be studied as new directions in the future. More detailed references are provided to go further and deep in this area. Springer Berlin Heidelberg 2023-02-14 2023 /pmc/articles/PMC9927061/ /pubmed/36819294 http://dx.doi.org/10.1186/s43088-023-00357-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Ait Rai, Khaoula Machkour, Mustapha Antari, Jilali Influential nodes identification in complex networks: a comprehensive literature review |
title | Influential nodes identification in complex networks: a comprehensive literature review |
title_full | Influential nodes identification in complex networks: a comprehensive literature review |
title_fullStr | Influential nodes identification in complex networks: a comprehensive literature review |
title_full_unstemmed | Influential nodes identification in complex networks: a comprehensive literature review |
title_short | Influential nodes identification in complex networks: a comprehensive literature review |
title_sort | influential nodes identification in complex networks: a comprehensive literature review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927061/ https://www.ncbi.nlm.nih.gov/pubmed/36819294 http://dx.doi.org/10.1186/s43088-023-00357-w |
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