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dc.contributor.advisorLind, Pedro
dc.contributor.advisorSchröder, Daniel Thilo
dc.contributor.authorMarcoux, Nora
dc.date.accessioned2022-09-12T11:49:54Z
dc.date.available2022-09-12T11:49:54Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/11250/3017252
dc.description.abstractPeople are spending more time than ever on social media sites and platforms, and a vast amount of information is collected with every click. All of this information can be used to map how users behave and interact, along with their interests. In this short thesis, we attempt to shed light on how the communities on Reddit evolve over time. Two different community detection algorithms are applied to the networks created from the user activity on Reddit in the time span of 2005 to 2019. These communities are further explored to determine the quality of the detected communities, the dynamics that occur over time, and if real-world events are reflected in the user activity on Reddit.en_US
dc.language.isoengen_US
dc.publisherOsloMet - storbyuniversiteteten_US
dc.relation.ispartofseriesACIT;2022
dc.subjectCommunity detectionen_US
dc.subjectRedditen_US
dc.titleCartography and evolution of the Reddit landscape using graph-based methodsen_US
dc.typeMaster thesisen_US
dc.description.versionpublishedVersionen_US


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