Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis

As a professional virtual community, the virtual academic community meets the new needs of scholars for academic cooperation in the network environment. It provides a more convenient way for scientific research cooperation. The purpose of this paper is to combine the factors influencing researcher cooperation in virtual academic communities and intends to verify and improve the index system of the factors influencing researcher cooperation in virtual academic communities with data support. The research objects were surveyed by online questionnaire survey wjx.cn from forum muchong.com, which is the largest virtual academic community in china. Using principal component analysis (PCA) method provides an in-depth data analysis of individual factors. The SPSS 20 was used to conduct a preliminary descriptive statistical analysis of the questionnaires. The results obtained show that community trust plays the most important role in the collaboration of researchers in virtual academic community and the group interaction factors and individual factors also affect the cooperation of researchers in virtual academic communities. The conclusion suggested that the virtual academic community need to establish and improve management norms and trust mechanisms, also need to refine and improve the forum section and the community incentives.