Analysis of Differences in User Behavior Based on a Variety of Online Social Networks.

Autor: Fenglian Jiang, Wencan Tong, Liming Huang
Předmět:
Zdroj: Sensors & Materials; 2019, Vol. 31 Issue 3, Part 3, p981-991, 11p
Abstrakt: The development of the Internet and various communication technologies has led to novel innovations, with a variety of social networks and smart terminals prevailing, which has created a vast amount of real data for analyzing and predicting user behaviors. Here, we will analyze and compare multiple online social networks and related user behaviors, giving an introduction to important research from related fields. We will create a model for the analysis of differences in user behavior based on a comparison of multiple online social networks. Differences in user behavior will also be shown on the basis of this model. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index