Article:
How to capture the festival network: Reflections on the Film Circulation datasets

dc.creatorLoist, Skadi
dc.creatorSamoilova, Evgenia (Zhenya)
dc.date.accessioned2023-05-31T13:30:08Z
dc.date.available2023-05-31T13:30:08Z
dc.date.issued2023
dc.description.abstractThe Film Circulation project is the first quantitative research in film festival studies that analyses the complex network relations of the sector using festival run data. This paper provides a detailed account of the project’s dataset, including decisions on data model, collection, structuring, and enhancement. It also documents the dataset’s sources, structures, limitations, and potential, with the goal of making the project more accessible and encouraging further collaborations in festival-related data analytics.en
dc.identifier.doihttp://dx.doi.org/10.25969/mediarep/19615
dc.identifier.urihttps://mediarep.org/handle/doc/20817
dc.languageeng
dc.publisherNECS
dc.publisher.placeMarburg
dc.relation.isPartOfissn:2213-0217
dc.relation.isbasedonhttps://mediarep.org/entities/dataset/ac4bc68e-5385-4bd0-b114-817eac17888b
dc.relation.ispartofseriesNECSUS_European Journal of Media Studies
dc.rightsCreative Commons Attribution Non Commercial No Derivatives 4.0 Generic
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectdata paperen
dc.subjectdatasetsen
dc.subjectfilm circulationen
dc.subjectfilm festivalsen
dc.subjectfestival runsen
dc.subject.ddcddc:791
dc.subject.ddcddc:300
dc.titleHow to capture the festival network: Reflections on the Film Circulation datasetsen
dc.typearticle
dc.type.statuspublishedVersion
dspace.entity.typeArticleen
local.coverpage2023-09-19T13:22:49
local.source.epage390
local.source.issue1
local.source.issueTitle#Ports
local.source.spage363
local.source.volume12
relation.isAuthorOfArticle8a0b853a-c46d-458c-a445-fca65c0a6e4f
relation.isAuthorOfArticle.latestForDiscovery8a0b853a-c46d-458c-a445-fca65c0a6e4f
relation.isDatasetOfDatapaperac4bc68e-5385-4bd0-b114-817eac17888b
relation.isDatasetOfDatapaper.latestForDiscoveryac4bc68e-5385-4bd0-b114-817eac17888b

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