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A comparative analysis of the statistical properties of large mobile phone calling networks
Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a direc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038836/ https://www.ncbi.nlm.nih.gov/pubmed/24875444 http://dx.doi.org/10.1038/srep05132 |
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author | Li, Ming-Xia Jiang, Zhi-Qiang Xie, Wen-Jie Miccichè, Salvatore Tumminello, Michele Zhou, Wei-Xing Mantegna, Rosario N. |
author_facet | Li, Ming-Xia Jiang, Zhi-Qiang Xie, Wen-Jie Miccichè, Salvatore Tumminello, Michele Zhou, Wei-Xing Mantegna, Rosario N. |
author_sort | Li, Ming-Xia |
collection | PubMed |
description | Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual calling network. The preferential communication behavior between two connected users can be statistically tested and it results in two Bonferroni networks with statistically validated edges. We perform a comparative analysis of the statistical properties of these four networks, which are constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days. We find that these networks share many common structural properties and also exhibit idiosyncratic features when compared with previously studied large mobile calling networks. The empirical findings provide us an intriguing picture of a representative large social network that might shed new lights on the modelling of large social networks. |
format | Online Article Text |
id | pubmed-4038836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40388362014-05-30 A comparative analysis of the statistical properties of large mobile phone calling networks Li, Ming-Xia Jiang, Zhi-Qiang Xie, Wen-Jie Miccichè, Salvatore Tumminello, Michele Zhou, Wei-Xing Mantegna, Rosario N. Sci Rep Article Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual calling network. The preferential communication behavior between two connected users can be statistically tested and it results in two Bonferroni networks with statistically validated edges. We perform a comparative analysis of the statistical properties of these four networks, which are constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days. We find that these networks share many common structural properties and also exhibit idiosyncratic features when compared with previously studied large mobile calling networks. The empirical findings provide us an intriguing picture of a representative large social network that might shed new lights on the modelling of large social networks. Nature Publishing Group 2014-05-30 /pmc/articles/PMC4038836/ /pubmed/24875444 http://dx.doi.org/10.1038/srep05132 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Li, Ming-Xia Jiang, Zhi-Qiang Xie, Wen-Jie Miccichè, Salvatore Tumminello, Michele Zhou, Wei-Xing Mantegna, Rosario N. A comparative analysis of the statistical properties of large mobile phone calling networks |
title | A comparative analysis of the statistical properties of large mobile phone calling networks |
title_full | A comparative analysis of the statistical properties of large mobile phone calling networks |
title_fullStr | A comparative analysis of the statistical properties of large mobile phone calling networks |
title_full_unstemmed | A comparative analysis of the statistical properties of large mobile phone calling networks |
title_short | A comparative analysis of the statistical properties of large mobile phone calling networks |
title_sort | comparative analysis of the statistical properties of large mobile phone calling networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038836/ https://www.ncbi.nlm.nih.gov/pubmed/24875444 http://dx.doi.org/10.1038/srep05132 |
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