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Grand challenge: Dynamic graph management for streaming social media analytics

dc.creatorVlassopoulos C., Kontopoulos I., Apostolou M., Artikis A., Vogiatzis D.en
dc.date.accessioned2023-01-31T11:37:02Z
dc.date.available2023-01-31T11:37:02Z
dc.date.issued2016
dc.identifier10.1145/2933267.2933515
dc.identifier.isbn9781450340212
dc.identifier.urihttp://hdl.handle.net/11615/80687
dc.description.abstractWe present a system for analytics on streaming social media that computes the most active posts, based on the age and the amount of comments for each post, and tracks the largest communities that comprise friends that are fond of the same content. To deal with high velocity data streams, we implemented an algorithm for incrementally updating graphs expressing social networks. The evaluation of our system is based on the datasets of the DEBS 2016 challenge. © 2016 ACM.en
dc.language.isoenen
dc.sourceDEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systemsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84978658312&doi=10.1145%2f2933267.2933515&partnerID=40&md5=7fc9066e61c007772367e11449bf8046
dc.subjectSocial networking (online)en
dc.subjectSoftware architectureen
dc.subjectDynamic graphen
dc.subjectGrand Challengeen
dc.subjectGraph modelen
dc.subjectHigh velocityen
dc.subjectIncrementally Updatingen
dc.subjectNetwork activitiesen
dc.subjectSocial mediaen
dc.subjectSocial media analyticsen
dc.subjectMedia streamingen
dc.subjectAssociation for Computing Machinery, Incen
dc.titleGrand challenge: Dynamic graph management for streaming social media analyticsen
dc.typeconferenceItemen


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