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Cascade influence

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dc.contributor.authorRizoiu, Marian-Andreien_AU
dc.contributor.authorGraham, Timothyen_AU
dc.contributor.authorShang, Ruien_AU
dc.contributor.authorZhang, Yifeien_AU
dc.contributor.authorAckland, Roberten_AU
dc.contributor.authorXie, Lexingen_AU
dc.date.accessioned2018-09-13T03:41:26Z
dc.date.available2018-09-13T03:41:26Z
dc.date.created17/05/2018en_AU
dc.description.abstractThis data repository contains: The scripts to estimate user influence from Twitter information cascades (i.e. Cas.In); A small dataset of 20 cascades for testing Cas.In; A hands-on tutorial to walk you through running Cas.In on real cascades.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.urihttp://hdl.handle.net/1885/147423en_AU
dc.language.isoen_AUen_AU
dc.publisherGithuben_AU
dc.relation.ispartofProceedings of 12th International AAAI Conference on Web and Social Media (ICWSM 2018)en_AU
dc.relation.isreferencedby#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate.en_AU
dc.rightsAuthor/s retain copyrighten_AU
dc.rights.licenseBoth dataset and code are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license,en_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.source.urihttps://github.com/computationalmedia/cascade-influenceen_AU
dc.titleCascade influenceen_AU
dc.typeComputer programen_AU
dc.typeDataseten_AU
dcterms.accessRightsOpen Accessen_AU
local.publisher.urlhttps://github.comen_AU
local.type.statusPublished Versionen_AU

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