Visualization of Researcher´s Knowledge Structure Based on Co-Word Analysis in IM&IS Discipline in Mainland China

In order to promote intuition and accuracy of researcher knowledge representation, an integration method of the visualization of researcher´s knowledge is proposed in this paper. To improve the feasibility of study, the IM&IS discipline is chose as the scope of the study. We construct an IM&IS´s knowledge architecture extracted from large numbers of papers by co-word analysis. A model of researcher´s knowledge structure is proposed, which includes the knowledge points, knowledge stocks, relationship between knowledge points. By calculating similarity, the knowledge points of researcher are classified under the most similar knowledge fields of IM&IS´s knowledge architecture. Thus the knowledge fields of researcher can be discovered, and knowledge stocks of researcher can be calculated. A researcher´s knowledge management prototype system is developed based on the above methods. The methods make researcher´s knowledge structure visualized intuitively, objectively and quantitatively, which is validated by a case in the end.