现代情报2026，Vol.46Issue(7)：83-99,17.DOI:10.3969/j.issn.1008-0821.2026.07.007
中国层级政府注意力网络的时空耦合与协同演变
Spatiotemporal Coupling and Collaborative Evolution of Chinese Hierarchical Government Attention Networks
摘要
Abstract
[Purpose/Significance]Exploring how national top-level design is collaboratively implemented across a complex system spanning multiple domains,hierarchical levels,and spatiotemporal dimensions is critical for profoundly understanding the governance model with distinct Chinese characteristics.Traditional qualitative policy analyses and basic text mining approaches often struggle to capture the complex,dynamic,and associative structures of policy issues over long periods.To bridge this gap,this study introduces a novel analytical framework combining network topology and spatiotem-poral coupling.We aim to quantitatively delineate the spatiotemporal resonance effects and cross-hierarchical response states of the Chinese government's governance philosophies,thereby providing new empirical evidence and tools for evalu-ating policy synergy and structural evolution.[Method/Process]This study collected and analyzed 6,353 annual Govern-ment Work Reports from the central,provincial,and municipal levels spanning two decades(2005-2024).To overcome the limitations of traditional unsupervised keyword extraction,we employed a large language model(Qwen2.5-7b),fine-tuned via Low-Rank Adaptation(LoRA),to accurately extract policy-relevant keywords at the sentence level.Following semantic alignment,we constructed multidimensional,time-stamped government attention networks based on keyword co-occurrences.Subsequently,we analyzed static network topologies and community structures to identify core policy agen-das.We then calculated the spatiotemporal coupling degrees among multi-level networks,utilizing Node and edge cou-pling strength in the network,to measure structural similarities during policy transmission.Finally,we utilized Spearman correlation analysis,incorporating macro-level provincial indicators,to quantitatively assess the driving factors behind the alignment of central and local agendas.[Result/Conclusion]The study reveals several key findings.First,the central go-vernance paradigm exhibits a distinct structural shift from prioritizing"high-speed growth"to focusing on"high-quality development"around 2013-2014,while consistently maintaining economic construction and livelihood improvement as its core pillars.Second,the transmission of top-level design demonstrates clear hierarchical differentiation.Provincial go-vernments serve as a pivotal bridging hub,translating macroeconomic strategies into actionable regional plans.Conse-quently,regional governance has evolved from early-stage"homogenization"into a mature paradigm of"differentiated colla-boration".Third,geographical distance(spatial decay effect)and official turnover(political stability)emerge as the most significant factors influencing the alignment degree between central and provincial agendas,substantially outweighing economic or cultural variables.While this research offers a robust quantitative framework,current co-word networks are limited in capturing deep causal semantics.Future research should integrate advanced entity relations and link policy net-work structures with actual socioeconomic output data to further evaluate governance efficacy.关键词
政府工作报告/顶层设计/跨层级传递/政府注意力网络/协同治理Key words
government work report/top-level design/cross-level transmission/government attention network/colla-borative governance分类
社会科学引用本文复制引用
巴志超,竺乐祺,刘祖军,孟凯..中国层级政府注意力网络的时空耦合与协同演变[J].现代情报,2026,46(7):83-99,17.基金项目
国家自然科学基金面上项目(项目编号:72374098) （项目编号:72374098）
南京大学文科人工智能交叉研究计划(AI for HASS)课题(项目编号:2025300106). （AI for HASS）
