Xiong Wenli, Yu Chenjie, Shi Chen, Zheng Yaxuan, Wang Xiping, Hu Yanpeng, Yin Hong, Li Chenhui, Wang Changbo
School of Computer Science and Technology, East China Normal University, Shanghai, 200062, China.
China Fortune Securities Co., Ltd, Shanghai, 200030, China.
Vis Comput Ind Biomed Art. 2024 May 15;7(1):11. doi: 10.1186/s42492-024-00164-9.
The regional industry network (RIN) is a type of financial network derived from industry networks that possess the capability to describe the connections between specific industries within a particular region. For most investors and financial analysts lacking extensive experience, the decision-support information provided by industry networks may be too vague. Conversely, RINs express more detailed and specific industry connections both within and outside the region. As RIN analysis is domain-specific and current financial network analysis tools are designed for generalized analytical tasks and cannot be directly applied to RINs, new visual analysis approaches are needed to enhance information exploration efficiency. In this study, we collaborated with domain experts and proposed V4RIN, an interactive visualization analysis system that integrates predefined domain knowledge and data processing methods to support users in uploading custom data. Through multiple views in the system panel, users can comprehensively explore the structure, geographical distribution, and spatiotemporal variations of the RIN. Two case studies were conducted and a set of expert interviews with five domain experts to validate the usability and reliability of our system.
区域产业网络（RIN）是一种源自产业网络的金融网络，它能够描述特定区域内特定产业之间的联系。对于大多数缺乏丰富经验的投资者和金融分析师而言，产业网络提供的决策支持信息可能过于模糊。相反，RINs能更详细、具体地展现区域内外的产业联系。由于RIN分析是特定领域的，而当前的金融网络分析工具是为通用分析任务设计的，无法直接应用于RINs，因此需要新的可视化分析方法来提高信息探索效率。在本研究中，我们与领域专家合作，提出了V4RIN，这是一个交互式可视化分析系统，它集成了预定义的领域知识和数据处理方法，以支持用户上传自定义数据。通过系统面板中的多个视图，用户可以全面探索RIN的结构、地理分布和时空变化。我们进行了两个案例研究，并与五位领域专家进行了一组专家访谈，以验证我们系统的可用性和可靠性。
