Sina Weibo is one of the most popular social network sites in China. Despite its popularity, there are few systematic studies exploring the characteristics of Sina Weibo. Community approach plays a key role in understanding the complex networks. We focus our attention to characterizing user behaviors in tweeting, retweeting and commenting.
The researchers collected data from all Weibo users in Shenzhen. They then used this data to build a Weibo community graph based on relationships. This graph can be used to exploit the influences and interactions among users. The research was carried out by the Shenzhen Institutes of Advanced Technology and Arizona State University.
We model the interactions of Shenzhen Weibo users and analyze the similarity of retweeting and commenting activities among these users. We use a k-means clustering algorithm to partition Weibo Users into different groups. The results show that the users in different clusters exhibit distinctive tweeting behavioral characteristics.
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Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach
China Social Network Users 2019
How many users do Douyin, Sina Weibo and WeChat have in China?
WeChat is the largest, with 654.1 million users in 2019, followed by Douyin with 442.6 million and Sina Weibo with 359.6 million.
8 Facts About Sina Weibo Users That All Marketers Should Know
