Predicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data

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datacite.relatedItem.firstPage555
datacite.relatedItem.issue8
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorJing Li
dc.contributor.authorWenyue Guo
dc.contributor.authorHaiyan Liu
dc.contributor.authorXin Chen
dc.contributor.authorAnzhu Yu
dc.contributor.authorJia Li
dc.date.accessioned2025-05-14T12:54:39Z
dc.date.available2025-05-14T12:54:39Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10080555
dc.identifier.otherjz000145-0551
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21990
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titlePredicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21991
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