Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/517219
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dc.coverage.spatial
dc.date.accessioned2023-10-10T11:38:36Z-
dc.date.available2023-10-10T11:38:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/517219-
dc.description.abstractincluded newline
dc.format.extentxvii, 154p., Synopsis-16
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Development of an Optimized Algorithm for Community Detection and Influence Maximization in Social Networks
dc.title.alternative
dc.creator.researcherAggarwal, Kirti
dc.subject.keywordCommunity Detection
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordInfluence Maximization
dc.subject.keywordMOOC
dc.subject.keywordNature-Inspired, BAT
dc.subject.keywordOptimization
dc.subject.keywordStock Network,
dc.description.note
dc.contributor.guideArora, Anuja
dc.publisher.placeNoida
dc.publisher.universityJaypee Institute of Information Technology
dc.publisher.institutionDepartment of Computer Science Engineering and Information Technology
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering and Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File77.34 kBAdobe PDFView/Open
02_prelim pages.pdf237.3 kBAdobe PDFView/Open
03_table of contents.pdf219.7 kBAdobe PDFView/Open
04_abstract.pdf16.86 kBAdobe PDFView/Open
05_chapter1.pdf543.72 kBAdobe PDFView/Open
06_chapter2.pdf426.16 kBAdobe PDFView/Open
07_chapter3.pdf1 MBAdobe PDFView/Open
08_chapter4.pdf1.87 MBAdobe PDFView/Open
09_chapter5.pdf963.46 kBAdobe PDFView/Open
10_chapter6.pdf1.31 MBAdobe PDFView/Open
11_references.pdf345.05 kBAdobe PDFView/Open
12_list of publications.pdf174.08 kBAdobe PDFView/Open
13_synopsis.pdf396.44 kBAdobe PDFView/Open
80_recommendation.pdf345.17 kBAdobe PDFView/Open


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