The Impact of Social Curiosity on Information Spreading on Networks

Most information spreading models consider that all individuals are identical psychologically. They ignore, for instance, the curiosity level of people, which may indicate that they can be influenced to seek for information given their interest. For example, the game Pokemon GO spread rapidly becaus...

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Detalles Bibliográficos
Autores principales: Vega Oliveros, Didier A., Berton, Lilian, Vazquez, Federico, Rodrigues, Francisco A.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Exactas
Curiosity
Information propagation
Spatial networks
Social networks
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124120
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-124120
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Exactas
Curiosity
Information propagation
Spatial networks
Social networks
spellingShingle Ciencias Exactas
Curiosity
Information propagation
Spatial networks
Social networks
Vega Oliveros, Didier A.
Berton, Lilian
Vazquez, Federico
Rodrigues, Francisco A.
The Impact of Social Curiosity on Information Spreading on Networks
topic_facet Ciencias Exactas
Curiosity
Information propagation
Spatial networks
Social networks
description Most information spreading models consider that all individuals are identical psychologically. They ignore, for instance, the curiosity level of people, which may indicate that they can be influenced to seek for information given their interest. For example, the game Pokemon GO spread rapidly because of the aroused curiosity among users. This paper proposes an information propagation model considering the curiosity level of each individual, which is a dynamical parameter that evolves over time. We evaluate the efficiency of our model in contrast to traditional information propagation models, like SIR or IC, and perform analysis on different types of artificial and real-world networks, like Google+, Facebook, and the United States roads map. We present a mean-field approach that reproduces with a good accuracy the evolution of macroscopic quantities, such as the density of stiflers, for the system's behavior with the curiosity. We also obtain an analytical solution of the mean-field equations that allows to predicts a transition from a phase where the information remains confined to a small number of users to a phase where it spreads over a large fraction of the population. The results indicate that the curiosity increases the information spreading in all networks as compared with the spreading without curiosity, and that this increase is larger in spatial networks than in social networks. When the curiosity is taken into account, the maximum number of informed individuals is reached close to the transition point. Since curious people are more open to a new product, concepts, and ideas, this is an important factor to be considered in propagation modeling. Our results contribute to the understanding of the interplay between diffusion process and dynamical heterogeneous transmission in social networks.
format Objeto de conferencia
Objeto de conferencia
author Vega Oliveros, Didier A.
Berton, Lilian
Vazquez, Federico
Rodrigues, Francisco A.
author_facet Vega Oliveros, Didier A.
Berton, Lilian
Vazquez, Federico
Rodrigues, Francisco A.
author_sort Vega Oliveros, Didier A.
title The Impact of Social Curiosity on Information Spreading on Networks
title_short The Impact of Social Curiosity on Information Spreading on Networks
title_full The Impact of Social Curiosity on Information Spreading on Networks
title_fullStr The Impact of Social Curiosity on Information Spreading on Networks
title_full_unstemmed The Impact of Social Curiosity on Information Spreading on Networks
title_sort impact of social curiosity on information spreading on networks
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/124120
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