Empirical Analysis of the Evolution of Follower Network: A Case Study on Douban
Source: University of Massachusetts
Follower networks such as Twitter and Digg are becoming popular form of social information networks. This paper seeks to gain insights into how they evolve and the relationship between their structure and their ability to spread information. By studying the Douban follower network, which is a popular online social network in China, the authors provide some evidences showing its suitability for information spreading. Also, they observe the following user behaviors, a user's following activity decays exponentially during her lifetime and the following behaviors differ according to the age of the account. These findings provide a deeper understanding on the evolution of follower networks, and can provide guidelines on how to build efficient information diffusion systems.