Analysis Of The Discipline Influence Of Information Science From Knowledge Output

At present,the state is strengthening the policy guidance for the construction of social science disciplines and academic research,emphasizing the construction of a discipline system,academic system and discourse system with Chinese characteristics.The Ministry of Education issued the Declaration on the Construction of New Liberal Arts in2020,emphasizing the integration of interdisciplinary expertise and the integrated development of disciplines.In this context,information science,as a typical cross discipline,has always been an important practical issue of high concern on how to further break through the discipline boundary and improve the discipline status and influence.Therefore,it is of great significance to explore the evaluation methods of discipline influence and identify the knowledge output that has outstanding contributions to the influence of information science and other disciplines’ knowledge that have influence on it.In the second chapter,the theoretical system of discipline kinetic energy is proposed as the research theory and method,and as the theoretical basis for evaluating discipline influence.Relevant empirical research in China mainly analyzes the citation relationship between disciplines and excavates the status and evolution rules of each discipline in the scientific system,but lacks theoretical exploration on the measurement of discipline influence.Therefore,the kinetic energy theorem of physics is introduced as the theoretical basis,the discipline is regarded as an object in motion,and the discipline kinetic energy theory is proposed to measure the kinetic energy generated by information science as an external force on other disciplines.In addition,demonstrate the feasibility of the theory in the analysis of discipline influence direction,identification of output knowledge,identification of role knowledge,identification of knowledge attribution,etc.,and analyze the potential application scenarios of the theory to form a universal discipline kinetic energy theory system,providing theoretical support and solutions for many metrological problems.The third chapter identify the main influential disciplines of information science.Build a model from the subject output rate,core citation rate and citation speed to measure the momentum of informatics as an interdisciplinary driving force for other disciplines.Taking 11 informatics journals included in CSSCI from 2016 to 2020 as empirical research data,it is found that this application method has certain advantages in identifying and promoting interdisciplinary high-level innovation,knowledge output ability and novelty of knowledge transfer;Informatics has the greatest impact on management,has a greater impact on electronic technology,computer science,health management,and has a greater impact on journalism and communication.The fourth chapter analyzes the knowledge output and influence of information science on social science from the knowledge level.Build an interdisciplinary driving force model from two aspects of knowledge output quality and acceleration,identify information science output knowledge and corresponding other social science knowledge year by year,that is,knowledge output combination,and divide it into potential,stable and declining types from the perspective of time series evolution.Taking management,journalism and communication,which are greatly influenced by informatics,as an example,in the above identification results,it is found that patent analysis,bibliometrics and other data analysis methods are the main output knowledge of informatics.However,further analysis of its output shows that the role of information science in social sciences still has the practical problems of low output of knowledge and single output range.The fifth chapter analyzes the knowledge output and influence of information science on natural science.The interdisciplinary driving force model is used to identify the output knowledge and its function knowledge,that is,the combination of knowledge output,and the knowledge attribution model is constructed to identify the main research disciplines of output knowledge,so as to identify the core knowledge output,intermediary knowledge output and knowledge feedback.It is found that the contributions of informatics to the academic system of natural science mainly fall into two categories: one is to export core research methods such as bibliometrics to help improve the research system in the field of knowledge mapping;the other is to feed back the innovation of algorithms such as machine learning through the practice and application of text analysis methods.