Dynamic analysis and community recognition of stock price based on a complex network perspective

作者：

Highlights：

• Construct highly correlated threshold networks for stock prices.

• Discuss the evolution of four kinds of topological properties.

• Do community identification and find special structures.

摘要

•Construct highly correlated threshold networks for stock prices.•Discuss the evolution of four kinds of topological properties.•Do community identification and find special structures.

论文关键词：Complex networks,Stock price,Average path length,Clustering coefficient,Degree distribution,Community structure

论文评审过程：Received 9 April 2022, Revised 12 September 2022, Accepted 28 September 2022, Available online 13 October 2022, Version of Record 20 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118944