Optimization Strategies for Academic Social Network Functions Based on User Information Demands Analysis
It is of great significance for promoting academic exchanges and cooperation to clarify the level of information demands of users of academic social network(ASN),compare the function and demand matching differences of mainstream ASN at home and abroad,and optimize the service functions of ASN accordingly.This paper obtains the information demands of the users of ASN through interviews,and forms 10 elements of information demands combined with the LDA topic model.Secondly,based on Kano model,questionnaires are designed and investigated to define the categories of information demand elements.The results show that research collaboration,diversified platform,social network,and literature acquisition are performance demand elements.Academic evaluation and communication and interaction are must-be demand elements.Writing and submission and self-presentation are indifferent demand elements.Incentive mechanism and project application are attractive demand elements.According to different types of demand elements and mainstream ASN functions,the optimization strategies for ASN in China are put forward to better serve the academic exchange and innovation of researchers.
Academic Social NetworkInformation DemandService FunctionKano ModelLDA Model
万方数据
维普
