Weibo, China's largest microblogging platform, has become one of the key information-sharing platforms in modern society. This study examines topic propagation in relation to microblogging from the perspective of the "peer effect." Using data of hot topics from Weibo, we analyze how the social...

Deep learning model has great potential and advantages in modeling the relations between stocks and helping trading on financial market. This paper studies the application of deep learning, reinforcement learning and graph neural network methods in portfolio optimization. A graph reinforcement...

With complex network methods to model the investor interaction relationship, the interactive patterns of online investors are studied through the motif structure of the investor interaction network in the stock forum, and we find that there is a dynamic mutual effect between investors'...

We find effectively extracting information from the stock-related structure (SRS) can improve the predictability of stock returns. A new factor for asset pricing is constructed that captures the characteristics of stock correlation network, and a new four-factor model is proposed by adding the...

We find that, from 1970 to 2006, the GDPs of 181 countries are described by a log-normal with a power law tail before 1992, but by a kinked power law distribution after 1992. In the 15 years from 1992 to 2006, there are two obvious scale-free zones for annual GDPs, ranked from the largest to...