A Calculation Algorithm Of Network Behavior Based On Clustering

The development of the Internet has made a great improvement of people’s living standards.A person can learn almost everything without going out. But, the complication of the development of the Internet makes the Internet become much harder to manage. There is a lot of hidden danger in the network. Because of this, it has become particularly of the research of network behavior analysis.The network behavior is derived from data transfer among nodes. There are more data connections among nodes in the same behavior. Therefore, complex networks clustering algorithm can divide the network into different behavior sub-clusters. Based on above theory model, this thesis proposes a calculation algorithm of network behavior based on clustering. The main research contents of this thesis are organized as follows:(1) Based on the study of bulk densities in the field of micromeritics, this thesis proposes a complex network clustering algorithm based on bulk densities.(2) According to different connection characteristics of behavior patterns in the network, this thesis proposes a mapping mode between the characteristic and behavior patterns.(3) According to the study of communication theory, the relative information quantity is used to measure the centrality of node. According to the corresponding relationship between relative information quantity and behavior pattern, this thesis proposes a calculation algorithm of network behavior based on clustering.