Research Hotspot Analysis of Information Ecological Theory Application in Library and Information Science Field in China from 2011 to 2022
[Objective/Significance]Deeply analyzes the application status,development trend,and research hotspot of information ecology theory in the field of library and information science in China,provides a basis and reference for better application of information ecology theory to carry out related research.[Methods/Processes]In CNKI,the literature related to information ecology in 20 core journals of library and information science in China from 2011 to 2022 was selected as samples,and CiteSpace was used to make knowledge maps.The publication of literature on this topic was counted,the research development trend was sorted out,and the research hotspots and frontiers were explored.[Limitations]This paper only focuses on the application of information ecology theory domestically and does not sort out the relevant research abroad.[Results/Conclusions]In the past 10 years,the annual publication volume of information ecological literature in the field of library and information science in China has been on the rise,then declined,and finally reached a stable development trend;the research hotspots are focused on the formation mechanism of network information ecosystems,information sharing,information collaboration,information behavior and information services,complex networks,etc.The research themes of information ecology theory applied in the field of library and information science in China focus on the study of influencing factors,formation mechanisms,information ecosystem construction,information ecological chain construction,etc.;the application field involves digital libraries,social media,healthcare,business networks,etc.;future research can pay attention to the role of information technology,pay attention to research at the micro level,strengthen the use of diverse research methodology,and expand the application field of information ecology theory.
Information EcologyResearch HotspotBibliometricsKnowledge Map
NETL
NSTL
万方数据
