融合层次分析与LeaderRank算法的数字治理平台人物识别研究
Digital Governance Character Recognition Based on Fusion of AHP and LeaderRank Algorithm

[目的/意义]在数字治理中，数字治理平台的公民代表识别和核心工作人员识别是一个十分重要的研究课题。政府与公民代表沟通可以更精准地服务群众，使决策更加科学可靠。核心工作人员识别有助于优化平台组织结构，推广数字治理经验，提高数字治理效率。[方法/过程]本文从用户属性、信息交互、网络结构三个方面，利用层次分析法结合LeaderRank算法计算数字治理参与度，用于识别公民代表和核心工作人员。[结果/结论]构建了一个参与度评判指标，用于识别公民代表和核心工作人员，并提出提高公民参与数字治理，提高政府人员数字治理能力，推进未来在线协商共治的建议。
[Purpose/Significance] In digital governance, the identification of citizen representatives and core staff of digital governance platform is a very important research topic. The government can communicate with citizen representatives to understand the actual needs of citizens and can communicate with core staff to optimize the organizational structure to make decision-making more scientific and reliable and improve the efficiency of digital governance. [Method/Process] In this paper, from the three aspects of user attributes, information interaction and network structure, we use AHP combined with LeaderRank algorithm to calculate the degree of participation, which is used to identify citizen representatives and core staff. [Result/Conclusion] A evaluation index is constructed to identify the representatives of citizens and core staff, which helps the digital governance platform to change from passive acceptance of mass advice to active understanding of the masses’ problems in the era of digital governance and to turn passive to active.