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Controllability of social networks and the strategic use of random information
BACKGROUND: This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732623/ https://www.ncbi.nlm.nih.gov/pubmed/29266124 http://dx.doi.org/10.1186/s40649-017-0046-2 |
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author | Cremonini, Marco Casamassima, Francesca |
author_facet | Cremonini, Marco Casamassima, Francesca |
author_sort | Cremonini, Marco |
collection | PubMed |
description | BACKGROUND: This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender systems or search engines, and represents one of the few options for influencing the behavior of a social context that could be accepted as ethical, could be fully disclosed to members, and does not involve the use of force or of deception. METHODS: Our research is based on a model of knowledge diffusion applied to a time-varying adaptive network and considers two well-known strategies for influencing social contexts: One is the selection of few influencers for manipulating their actions in order to drive the whole network to a certain behavior; the other, instead, drives the network behavior acting on the state of a large subset of ordinary, scarcely influencing users. The two approaches have been studied in terms of network and diffusion effects. The network effect is analyzed through the changes induced on network average degree and clustering coefficient, while the diffusion effect is based on two ad hoc metrics which are defined to measure the degree of knowledge diffusion and skill level, as well as the polarization of agent interests. RESULTS: The results, obtained through simulations on synthetic networks, show a rich dynamics and strong effects on the communication structure and on the distribution of knowledge and skills. CONCLUSIONS: These findings support our hypothesis that the strategic use of random information could represent a realistic approach to social network controllability, and that with both strategies, in principle, the control effect could be remarkable. |
format | Online Article Text |
id | pubmed-5732623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-57326232017-12-18 Controllability of social networks and the strategic use of random information Cremonini, Marco Casamassima, Francesca Comput Soc Netw Research BACKGROUND: This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender systems or search engines, and represents one of the few options for influencing the behavior of a social context that could be accepted as ethical, could be fully disclosed to members, and does not involve the use of force or of deception. METHODS: Our research is based on a model of knowledge diffusion applied to a time-varying adaptive network and considers two well-known strategies for influencing social contexts: One is the selection of few influencers for manipulating their actions in order to drive the whole network to a certain behavior; the other, instead, drives the network behavior acting on the state of a large subset of ordinary, scarcely influencing users. The two approaches have been studied in terms of network and diffusion effects. The network effect is analyzed through the changes induced on network average degree and clustering coefficient, while the diffusion effect is based on two ad hoc metrics which are defined to measure the degree of knowledge diffusion and skill level, as well as the polarization of agent interests. RESULTS: The results, obtained through simulations on synthetic networks, show a rich dynamics and strong effects on the communication structure and on the distribution of knowledge and skills. CONCLUSIONS: These findings support our hypothesis that the strategic use of random information could represent a realistic approach to social network controllability, and that with both strategies, in principle, the control effect could be remarkable. Springer International Publishing 2017-10-13 2017 /pmc/articles/PMC5732623/ /pubmed/29266124 http://dx.doi.org/10.1186/s40649-017-0046-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Cremonini, Marco Casamassima, Francesca Controllability of social networks and the strategic use of random information |
title | Controllability of social networks and the strategic use of random information |
title_full | Controllability of social networks and the strategic use of random information |
title_fullStr | Controllability of social networks and the strategic use of random information |
title_full_unstemmed | Controllability of social networks and the strategic use of random information |
title_short | Controllability of social networks and the strategic use of random information |
title_sort | controllability of social networks and the strategic use of random information |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732623/ https://www.ncbi.nlm.nih.gov/pubmed/29266124 http://dx.doi.org/10.1186/s40649-017-0046-2 |
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