Making Thin Data Thick: User Behavior Analysis with Minimum Information

Making Thin Data Thick: User Behavior Analysis with Minimum Information

abstract: With the rise of social media, user-generated content has become available at an unprecedented scale. On Twitter, 1 billion tweets are posted every 5 days and on Facebook, 20 million links are shared every 20 minutes. These massive collections of user-generated content have introduced the...

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Bibliographic Details
Other Authors: Zafarani, Reza (Author)
Format: Doctoral Thesis
Language:English
Published: 2015
Subjects:
Computer science
Minimum Information
Mining across Sites
Social Signatures
User Identification
Users across Sites
Online Access:http://hdl.handle.net/2286/R.I.34813

Internet

http://hdl.handle.net/2286/R.I.34813

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