Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23258
DC FieldValueLanguage
dc.contributor.authorMishkovski, Igoren_US
dc.contributor.authorŠćepanović, Sanjaen_US
dc.contributor.authorKlandev, Ivanen_US
dc.date.accessioned2022-10-03T07:46:28Z-
dc.date.available2022-10-03T07:46:28Z-
dc.date.issued2015-11-05-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23258-
dc.description.abstractAnalysing people’s behaviours on social networks and their communication patterns provides insight into human habits and their typical actions on different timescales. Combining these results with data available from other important sectors enables the study of the interrelationship and influence of major external events on the changes in the “normal” communication and social pattern behaviours. Towards this goal, we have developed a platform that uses twitter stream in order to process crisis-related communication. The developed platform was tested for earthquakes and floods in the Balkan region in the period between April and June 2014, when the largest recorder floods in the Balkans region happened.en_US
dc.relation.ispartofBig Data, Knowledge and Control Systems Engineeringen_US
dc.subjectBig Data, Twitter, DRR, Resilienceen_US
dc.titleCreating Resilience Using Twitter Dataen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Files in This Item:
File Description SizeFormat 
BdKCSE'2015.pdf11.08 MBAdobe PDFView/Open
Show simple item record

Page view(s)

41
checked on May 16, 2024

Download(s)

74
checked on May 16, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.