Year: 2016
Type: dissertation
Abstract: With the rapid growth of users in Social Networking Services (SNSs), data is generated in thousands of terabytes every day. This data contains lots of hidden information and patterns. The analysis of such data is not a trivial task. A great deal of effort has been put into it. Analysing users' behaviour in social networks can help researchers to better understand what happens in the real world and create huge commercial value for social networks themselves.
Author: Xiao Cui
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2497798260