Publicación:
Benchmarking seeding strategies for spreading processes in social networks: an interplay between influencers, topologies and sizes

Vista sencilla de ítem
dc.contributor.authorMontes, Felipe
dc.contributor.authorJaramillo, Ana María
dc.contributor.authorMeisel, Jose D.
dc.contributor.authorDiaz-Guilera, Albert
dc.contributor.authorValdivia, Juan A.
dc.contributor.authorSarmiento, Olga L.
dc.contributor.authorZarama, Roberto
dc.date.accessioned2020-09-10T21:19:45Z
dc.date.available2020-09-10T21:19:45Z
dc.date.issued2020-02-28
dc.description.abstractThe explosion of network science has permitted an understanding of how the structure of social networks affects the dynamics of social contagion. In community-based interventions with spill-over effects, identifying influential spreaders may be harnessed to increase the spreading efficiency of social contagion, in terms of time needed to spread all the largest connected component of the network. Several strategies have been proved to be efficient using only data and simulation-based models in specific network topologies without a consensus of an overall result. Hence, the purpose of this paper is to benchmark the spreading efficiency of seeding strategies related to network structural properties and sizes. We simulate spreading processes on empirical and simulated social networks within a wide range of densities, clustering coefficients, and sizes. We also propose three new decentralized seeding strategies that are structurally different from well-known strategies: community hubs, ambassadors, and random hubs. We observe that the efficiency ranking of strategies varies with the network structure. In general, for sparse networks with community structure, decentralized influencers are suitable for increasing the spreading efficiency. By contrast, when the networks are denser, centralized influencers outperform. These results provide a framework for selecting efficient strategies according to different contexts in which social networks emerge.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationMontes, F., Jaramillo, A.M., Meisel, J.D. et al. Benchmarking seeding strategies for spreading processes in social networks: an interplay between influencers, topologies and sizes. Sci Rep 10, 3666 (2020). https://doi.org/10.1038/s41598-020-60239-4es_CO
dc.identifier.issn2011-2020
dc.identifier.urihttps://www.nature.com/articles/s41598-020-60239-4
dc.language.isoenes_CO
dc.publisherScientific Reportses_CO
dc.subjectSpreading efficiencyes_CO
dc.subjectNetwork topologieses_CO
dc.subjectNodes seeding strategieses_CO
dc.subjectCentralized and decentralized nodes seeding strategieses_CO
dc.titleBenchmarking seeding strategies for spreading processes in social networks: an interplay between influencers, topologies and sizeses_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailjose.meisel@unibague.edu.coes_CO
Archivos
Bloque de licencias
Mostrando1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
134 B
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
Artículos