Diffusion of ideas, social reinforcement and percolation
Tur, Elena M., (Instituto de Gestión de la Innovación y del Conocimiento, INGENIO (CSIC-UPV))
Zeppini, Paolo
Frenken, Koen

Date: 2014
Abstract: This paper analyzes how social structure and social reinforcement affect the diffusion of an idea in a population of human agents. A percolation approach is used to model the diffusion process. This framework assumes that information is local and embedded in a social network. We introduce social reinforcement in the model by softening the condition to adopt when the number of adopting neighbors increases. Our numerical analysis shows that social reinforcement severely affects the output of the process. Some ideas with an original value so low that it would never get diffused can be spread due to the strength of social reinforcement. This effect also interacts with the structure of the network, with a more sizeable impact on small worlds with a low rewiring probability. Also, social reinforcement completely changes the effect of clustering links, because sequential adoption of neighbors can make one agent adopt at later stages.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès.
Document: conferenceObject
Subject: Diffusion of ideas ; Social reinforcement ; Percolation ; Computational social science ; Social simulation
Published in: Social Simulation Conference. Bellaterra, Cerdanyola del Vallès, 1a : 2014

Podeu consultar la compilació de les ponències presentades a Social Simulation Conference a: https://ddd.uab.cat/record/125597

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 Record created 2015-01-12, last modified 2018-11-10

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