LI Longfei, YANG Siluo
LIBRARY TRIBUNE. 2026, 46(10): 14-28.
Digital and intelligent technologies have profoundly reshaped library collection development,service provision,and social communication,these shifts place new demands on library evaluation. Traditional evaluation models,which mainly focus on resource inputs and service performance,can no longer adequately capture the differences in influence among different types of libraries in an open networked environment. According to the development context of libraries in the digital intelligence era,this study develops a three-layer,five-dimensional analytical framework,with foundational strength as the capacity base,website influence and social media influence as the communication channels,and social influence and academic influence as the outcome indicators. Following the principle of “classification-based evaluation and comparison within the same category,” it establishes differentiated indicator systems for academic libraries,public libraries,and special libraries. Using a sample of 5,289 libraries nationwide,it conducts an empirical analysis based on multi-source data,including publicly available government and industry information,institutional websites,search engines,news outlets,social media platforms,and academic databases. The findings show that China’s library influence has formed a relatively clear hierarchical structure,yet the distribution patterns vary across library types. Academic libraries exhibit a comprehensive support-oriented pattern,public libraries display a service-oriented pattern,and special libraries demonstrate a professionally embedded pattern. Library influence is a composite structure shaped jointly by resource foundations,platform capacity,communication and diffusion,social recognition,and academic support. At the regional level,library influence exhibits distinct gradient differentiation and spatial clustering. Accordingly,library influence evaluation should move from unified ranking to classification-based identification,and from single-source static measurement to multi-source dynamic monitoring.