1. My Scholar, Digital Library Repository, Universiti Malaysia Kelantan
  2. F- OTHER PUBLICATIONS
  3. Faculty of Entrepreneurship and Business - Other Publication
Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4204
DC FieldValueLanguage
dc.contributor.authorTan, Wai Hongen_US
dc.date.accessioned2023-01-11T09:22:36Z-
dc.date.available2023-01-11T09:22:36Z-
dc.date.issued2022-
dc.identifier.issn2948-5037-
dc.identifier.urihttp://hdl.handle.net/123456789/4204-
dc.descriptionOthersen_US
dc.description.abstractFor the entirety of my odyssey to complete writing my dissertation, I had devoted time and assiduous efforts to formulate models based on the theory of point process, which aim to predict the numbers of reposts (or retweets) stemming from the original posts (or tweets) on a renowned microblogging platform called Twitter.en_US
dc.language.isoenen_US
dc.publisherCaknawan UMKen_US
dc.relation.ispartofCaknawanen_US
dc.subjectTwitteren_US
dc.subjectTweeten_US
dc.subjectRetweeten_US
dc.subjectPoint Processen_US
dc.subjectTemporalen_US
dc.subjectPoisson Processen_US
dc.subjectSelf-Excitingen_US
dc.subjectHawkes Processen_US
dc.subjectFormulationen_US
dc.subjectPredictionen_US
dc.subjectPopularityen_US
dc.titlePoint Processes at a Glanceen_US
dc.typeNationalen_US
dc.volume1(3)en_US
dc.description.typeArticle in Magazine/Newsletter/Bulletin/Newspaperen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairetypeNational-
item.languageiso639-1en-
Appears in Collections:Faculty of Entrepreneurship and Business - Other Publication
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