Extraction and Analysis of Sub-networks of Complex Networks-Based on Node Importance

It is worthwhile to develop an effective method to identify the critical nodes in the complex network. Taking CBIN (Community-Based Important Node) as the parameter of “ node influence ”, and after identifying the influential influencers, a subnetwork of directional influencer network is set. In order to ensure the accuracy of the model, SI model is used to test the feasibility of CBIN. At last, four algorithms are compared. It is proved that CBIN is feasible and has advantages in measuring the influence of music.