Simple view
Full metadata view
Authors
Statistics
Modelling influence propagation in social networks
social networks
in uence propagation
in uence maximisation
viral marketing
This paper presents a formalised description of the models of in uence propagation in social networks introduced in the classic paper of Kempe et al. The formal framework that we propose clarifies the structure of the most popular propagation models and helps rigorously re-establish the essential results concerning the problem of in uence maximisation. We also introduce new models of propagation and show how they fit into the general picture. In particular, we focus on models that capture either positive or negative e ects of resisting in uence on individual's future resistance.
cris.lastimport.wos | 2024-04-10T00:36:25Z | |
dc.abstract.en | This paper presents a formalised description of the models of in uence propagation in social networks introduced in the classic paper of Kempe et al. The formal framework that we propose clarifies the structure of the most popular propagation models and helps rigorously re-establish the essential results concerning the problem of in uence maximisation. We also introduce new models of propagation and show how they fit into the general picture. In particular, we focus on models that capture either positive or negative e ects of resisting in uence on individual's future resistance. | pl |
dc.affiliation | Wydział Matematyki i Informatyki | pl |
dc.contributor.author | Szczepanek, Anna - 162821 | pl |
dc.date.accession | 2016-06-16 | pl |
dc.date.accessioned | 2016-06-16T12:07:39Z | |
dc.date.available | 2016-06-16T12:07:39Z | |
dc.date.issued | 2015 | pl |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.physical | 93-101 | pl |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 24 | pl |
dc.identifier.doi | 10.4467/20838476SI.15.009.3031 | pl |
dc.identifier.eissn | 2083-8476 | pl |
dc.identifier.issn | 1732-3916 | pl |
dc.identifier.project | ROD UJ / P | pl |
dc.identifier.uri | http://ruj.uj.edu.pl/xmlui/handle/item/28035 | |
dc.identifier.weblink | http://www.ejournals.eu/Schedae-Informaticae/2015/Volume-24/art/7013/ | pl |
dc.language | eng | pl |
dc.language.container | eng | pl |
dc.rights | Dozwolony użytek utworów chronionych | * |
dc.rights.licence | OTHER | |
dc.rights.uri | http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf | pl |
dc.share.type | otwarte czasopismo | |
dc.subject.en | social networks | pl |
dc.subject.en | in uence propagation | pl |
dc.subject.en | in uence maximisation | pl |
dc.subject.en | viral marketing | pl |
dc.subtype | Article | pl |
dc.title | Modelling influence propagation in social networks | pl |
dc.title.journal | Schedae Informaticae | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |
* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.
Views
2
Views per month
Downloads
Open Access