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Network diffusion of gender diversity on boards: A process of two-speed opposing forces

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dc.contributor.authorGimeno, Ricardo
dc.contributor.authorCabo, Ruth Mateos de
dc.contributor.authorGrau, Pilar
dc.contributor.authorGabaldón, Patricia
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-08T13:15:08Z
dc.date.available2024-07-08T13:15:08Z
dc.date.issued2022
dc.description.abstractNetwork diffusion processes or how information spreads through networks have been widely examined in numerous disciplines such as epidemiology,physics,sociology,politics,or computer science. In this paper,we extend previous developments by considering a generalization of the diffusion by considering the possibility of differences in the speed of diffusion and reduction depending on the forces’ directions. In this situation,the differential speed of diffusion produces deviations from the standard solution around the average of the initial conditions in the network. In fact,this asymmetry gives rise to non-linear dynamics in which,contrary to the symmetric case,the final solution depends on the topology of the graph as well as on the distribution of the initial values. Counter-intuitively,less central nodes in the network are able to exert a higher influence on the final solution. This behavior applies also for different simulated networks such as random,small-world,and scale-free. We show an example of this kind of asymmetric diffusion process in a real case. To do so,we use a network of US Boards of Directors,where boards are the nodes and the directors working for more than one board,are the links. Changes in the proportion of women serving on each board are influenced by the gradient between adjacent boards. We also show that there is an asymmetry: the gradient is reduced at a slower (faster) rhythm if the board has less (more) women than neighboring boards. We are able to quantify the accumulated effect of this asymmetry from 2000 to 2015 in the overall proportion of women on boards,in a 4.7 percentage points (the proportion should have been an 14.61% instead of the observed 9.93% in 2015). Copyright: © 2022 Gimeno et al. This is an open access article distributed under the terms of the Creative Commons Attribution License
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dc.identifier.citationGimeno, R., Mateos de Cabo, R., Grau, P., & Gabaldon, P. (2022). Network diffusion of gender diversity on boards: A process of two-speed opposing forces. Plos one, 17(11), e0277214.
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0277214
dc.identifier.issn19326203
dc.identifier.officialurlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141958268&doi=10.1371%2fjournal.pone.0277214&partnerID=40&md5=e4b7a6fecdfedb2f673d98dae065745d
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3162
dc.issue.number11 November
dc.journal.titlePLoS ONE
dc.language.isoeng
dc.page.total17
dc.publisherPublic Library of Science
dc.relation.departmentEconomics
dc.relation.entityIE University
dc.relation.schoolIE Business School
dc.rightsAttribution 4,0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.otheradult
dc.subject.otherarticle
dc.subject.otherdiffusion
dc.subject.otherfemale
dc.subject.othergender diversity
dc.subject.otherhuman
dc.subject.othermale
dc.subject.othernonlinear system
dc.subject.otherquantitative analysis
dc.subject.othersimulation
dc.subject.othervelocity
dc.subject.otherdiffusion
dc.subject.othernonlinear system
dc.subject.otherpolitics
dc.subject.otherDiffusion
dc.subject.otherFemale
dc.subject.otherHumans
dc.subject.otherNonlinear Dynamics
dc.subject.otherPolitics
dc.titleNetwork diffusion of gender diversity on boards: A process of two-speed opposing forces
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number17
dspace.entity.typePublication
person.identifier.scopus-author-id8351756900
person.identifier.scopus-author-id8351756800
person.identifier.scopus-author-id14123444900
person.identifier.scopus-author-id56239348900
relation.isAuthorOfPublication5c30c7a8-3f79-428c-9f69-efad93c96980
relation.isAuthorOfPublication.latestForDiscovery5c30c7a8-3f79-428c-9f69-efad93c96980
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