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Multidimensional Human Dynamics in Mobile Phone Communications
In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication medi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113357/ https://www.ncbi.nlm.nih.gov/pubmed/25068479 http://dx.doi.org/10.1371/journal.pone.0103183 |
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author | Quadri, Christian Zignani, Matteo Capra, Lorenzo Gaito, Sabrina Rossi, Gian Paolo |
author_facet | Quadri, Christian Zignani, Matteo Capra, Lorenzo Gaito, Sabrina Rossi, Gian Paolo |
author_sort | Quadri, Christian |
collection | PubMed |
description | In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process. |
format | Online Article Text |
id | pubmed-4113357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41133572014-08-04 Multidimensional Human Dynamics in Mobile Phone Communications Quadri, Christian Zignani, Matteo Capra, Lorenzo Gaito, Sabrina Rossi, Gian Paolo PLoS One Research Article In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process. Public Library of Science 2014-07-28 /pmc/articles/PMC4113357/ /pubmed/25068479 http://dx.doi.org/10.1371/journal.pone.0103183 Text en © 2014 Quadri et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Quadri, Christian Zignani, Matteo Capra, Lorenzo Gaito, Sabrina Rossi, Gian Paolo Multidimensional Human Dynamics in Mobile Phone Communications |
title | Multidimensional Human Dynamics in Mobile Phone Communications |
title_full | Multidimensional Human Dynamics in Mobile Phone Communications |
title_fullStr | Multidimensional Human Dynamics in Mobile Phone Communications |
title_full_unstemmed | Multidimensional Human Dynamics in Mobile Phone Communications |
title_short | Multidimensional Human Dynamics in Mobile Phone Communications |
title_sort | multidimensional human dynamics in mobile phone communications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113357/ https://www.ncbi.nlm.nih.gov/pubmed/25068479 http://dx.doi.org/10.1371/journal.pone.0103183 |
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