Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/478381
Title: | Exploiting tie strength and structure towards link prediction in social networks |
Researcher: | Sett, Niladri |
Guide(s): | Singh, Sanasam Ranbir and Nandi, Sukumar |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Indian Institute of Technology Guwahati |
Completed Date: | 2017 |
Abstract: | Analysis of complex network has emerged as a booming research area since last decade Social network a type of complex network has gained attention from the contemporary researchers due to the abundance of social network data in the Web in recent times Rapid increase in the number of subscribers to the social platforms such as blogs dating sites friends making sites provided by the Web has revealed unseen human relationships and motivated the researchers to make good use of this This t |
Pagination: | Not Available |
URI: | http://hdl.handle.net/10603/478381 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 4.85 MB | Adobe PDF | View/Open |
04_abstract.pdf | 107.88 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 196.92 kB | Adobe PDF | View/Open |
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