Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/128565
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dc.contributor.authorGray, C.en
dc.contributor.authorMitchell, L.en
dc.contributor.authorRoughan, M.en
dc.date.issued2018en
dc.identifier.citationProceedings of the 1st International Workshop on Online Social Networks and Media: Network Properties and D ynamics (OSNED 2018), as published in WWW ’18 Companion: The 2018 Web Conference Companion, 2018 / pp.1435-1441en
dc.identifier.isbn9781450356404en
dc.identifier.urihttp://hdl.handle.net/2440/128565-
dc.descriptionPart of 27th International World Wide Web Conference.en
dc.description.abstractModelling information cascades over online social networks is important in fields from marketing to civil unrest prediction, however the underlying network structure strongly affects the probability and nature of such cascades. Even with simple cascade dynamics the probability of large cascades are almost entirely dictated by network properties, with well-known networks such as Erdos-Renyi and Barabasi-Albert producing wildly different cascades from the same model. Indeed, the notion of ‘superspreaders’ has arisen to describe highly influential nodes promoting global cascades in a social network. Here we use a simple model of global cascades to show that the presence of locality in the network increases the probability of a global cascade due to the increased vulnerability of connecting nodes. Rather than ‘super-spreaders’, we find that the presence of these highly connected ‘super-blockers’ in heavy-tailed networks in fact reduces the probability of global cascades, while promoting information spread when targeted as the initial spreader.en
dc.description.statementofresponsibilityCaitlin Gray, Lewis Mitchell, Matthew Roughanen
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.rights© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License. This paper is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Authors reserve their rights to disseminate the work on their personal and corporate Web sites with the appropriate attribution.en
dc.source.urihttps://dl.acm.org/doi/proceedings/10.5555/3184558en
dc.subjectNetwork Structure; Information diffusion; Cascadesen
dc.titleSuper-blockers and the effect of network structure on information cascadesen
dc.typeConference paperen
dc.contributor.conference1st International Workshop on Online Social Networks and Media: Network Properties and Dynamics (OSNED) (23 Apr 2018 - 27 Apr 2018 : Lyon, France)en
dc.identifier.doi10.1145/3184558.3191590en
dc.publisher.placeNew Yorken
pubs.publication-statusPublisheden
dc.identifier.orcidGray, C. [0000-0003-1928-7008]en
dc.identifier.orcidMitchell, L. [0000-0001-8191-1997]en
Appears in Collections:Mathematical Sciences publications

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