Abstract: This research aims to conduct a multi-dimensional traceability and development trend analysis of shared governance from the perspective of academic research, and objectively present the research status, topic distribution, topic evolution and main path of shared governance. Taking "Social Governance" as the topic word, this study collected and screened the data of "Shared Governance" from CNKI, and used bibliometrics and text mining methods to carry out characterization and internal analysis of the bibliographic data from the five dimensions of governance goal, subject, object, method and mechanism. Characterization analysis focuses on publication statistics, high-frequency keyword statistics and its co-occurrence network construction of bibliographic data. Based on the BERT-BiLSTM-CRF model, the internal analysis expands the named entity recognition of the bibliographic data, performs topic cluster mining on the identified word vectors of the governance entities by dimensions, and calculates the evolution strength between different topics. The research results show that the governance goal shifts from economic development to spiritual prosperity, the governance subject shifts from government leading to pluralistic coordination, the governance object shifts from the professional field to the people's rights and interests, the governance method shifts from legal supervision to social participation, and the governance mechanism shifts from administrative instructions to data-driven.

Key words: Shared governance, Named entity recognition, Multi-dimensional traceability, Development trend, Literature analysis