1. Shodhganga@INFLIBNET
  2. Jaypee Institute of Information Technology
  3. Department of Computer Science Engineering and Information Technology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/336306
Title: Effective Techniques for Influence Maximization in Static and Dynamic Online Social Networks
Researcher: Agarwal, Sakshi
Guide(s): Mehta, Shikha
Keywords: Computer Science
Computer Science Theory and Methods
Diffusion Models
Engineering and Technology
Influence Analysis
Influence Maximization
Social Network Analysis
Viral Marketing
University: Jaypee Institute of Information Technology
Completed Date: 2021
Abstract: included newline
Pagination: 224p.
URI: http://hdl.handle.net/10603/336306
Appears in Departments:Department of Computer Science Engineering and Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File318.66 kBAdobe PDFView/Open
02_table of contents.pdf220.16 kBAdobe PDFView/Open
03_declaration.pdf220.49 kBAdobe PDFView/Open
04_certificate.pdf220.59 kBAdobe PDFView/Open
05_acknowledgement.pdf122.1 kBAdobe PDFView/Open
06_abstract.pdf123.25 kBAdobe PDFView/Open
07_list of acronyms and abbreviatons.pdf92.31 kBAdobe PDFView/Open
08_list of figures and tables.pdf172.32 kBAdobe PDFView/Open
09_chapter1.pdf218.58 kBAdobe PDFView/Open
10_chapter2.pdf868.14 kBAdobe PDFView/Open
11_chapter3.pdf1.13 MBAdobe PDFView/Open
12_chapter4.pdf1.27 MBAdobe PDFView/Open
13_chapter5.pdf5.22 MBAdobe PDFView/Open
14_chapter6.pdf3.51 MBAdobe PDFView/Open
15_chapter7.pdf1.46 MBAdobe PDFView/Open
16_references.pdf245.39 kBAdobe PDFView/Open
17_list of publications.pdf166.13 kBAdobe PDFView/Open
18_synopsis.pdf379.47 kBAdobe PDFView/Open
80_recommendation.pdf465.73 kBAdobe PDFView/Open
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