Stability of knowledge collaboration network facing member loss and knowledge loss

Collaborative organization and relationship stability is crucial for the success of knowledge collaboration network (KCN). Member loss and knowledge loss are the severe challenges for the KCN stability. This study explores the stability of KCN facing the member and knowledge loss based on the super-network model. Considering there mainly are two types of factors in KCN: members and their knowledge, a weighted super-network model for KCN is proposed by integrating the two types of node firstly. Based on the weighted super-network model, some stability metrics are proposed pertinently. Case study is provided to illustrate the application of the proposed model and stability analysis method.