Detecting communities in complex networks is of considerable importance for understanding both the structure and function of the networks. Here, we propose a class of improved algorithms for community detection, by combining the betweenness algorithm of Girvan and Newman with the edge weight...

Through the overview of main problems existing in chives production, its current situation and history, the thesis puts forward countermeasures for developing chives industrialization in Xiaogang Town, Xiaogan City.

Community detection is of considerable interest for analyzing the structure and function of complex networks. Recently, a type of multi-resolution methods in community detection was introduced, which can adjust the resolution of modularity by modifying the modularity function with tunable...

This study investigates Chinese equity mutual funds’ performances while holding those that are well behaved in financial disclosure (transparent) companies, so-called peace of mind investing. This study uses detailed semi-annual data on mutual funds from 2011 to 2020, and finds that holding...

We test the hypothesis that retail investors' attraction to lottery stocks induces overvaluation, and is amplified by high attention and social interactions. The lottery premium (negative abnormal returns) is stronger for high-retail-ownership stocks—especially those that also have high...

We find that the stock market underreacts to stock level liquidity shocks: liquidity shocks are not only positively associated with contemporaneous returns, but they also predict future return continuations for up to six months. Long-short portfolios sorted on liquidity shocks generate...

We find that the stock market underreacts to stock level liquidity shocks: liquidity shocks are not only positively associated with contemporaneous returns, but they also predict future return continuations for up to six months. Long-short portfolios sorted on liquidity shocks generate...