Cluster analysis method, cluster analysis system, and cluster analysis program

A cluster analysis system that classifies a plurality of documents into clusters according to content of the documents and generates display data indicating a relationship between the documents, the cluster analysis system comprising:

• a storage memory;
• and
• a processor, comprising:
• a similarity calculation unit that calculates similarity between content of a document and content of another document;
• a cluster classification unit that generates a network in which the document is set as a node based on calculated similarity and similar nodes are connected by an edge, and classifies similar documents into clusters;
• a first index calculation unit that calculates a first index indicating centrality of the document in the network;
• a second index calculation unit that calculates a second index, calculated according to a citation of the document, that is different from the first index in the network and indicates an impact factor of the document;
• and
• a display data generation unit that generates, regarding the document, first display data indicating the network by an expression of a size of an object of a node according to the first index, an expression of a gauge having a shape corresponding to a shape of the object according to the second index and a length of the gauge, an expression according to a type of the cluster, and an expression according to magnitude of similarity between documents,
• wherein the display data is generated using a dynamic model so that the node and each of the similar nodes are arranged at appropriate intervals without overlapping, and
• wherein the dynamic model is stored in the storage memory.

A non-transitory computer-readable medium having stored thereon computer-executable instructions for cluster analysis program that, upon execution, causes a computer to classify a plurality of documents into clusters according to content of the documents and generate display data indicating a relationship between documents, the computer-executable instructions including:

• calculating similarity between content of one document and content of another document;
• generating a network in which a document is set as a node based on calculated similarity and similar nodes are connected by an edge, and classifying similar documents into clusters;
• calculating a first index indicating centrality of a document in the network;
• calculating a second index, according to a citation of the document, that is different from the first index in the network and indicates an impact of a document regardless of the network to which the classified similar document correspond;
• and
• generating, regarding the document, first display data indicating the network by an expression of a size of an object of a node according to the first index, an expression of a gauge having a shape corresponding to a shape of the object according to the second index and a length of the gauge, an expression according to a type of the cluster, and an expression according to magnitude of similarity between documents,
• wherein the display data is generated using a dynamic model so that the node and each of the similar nodes are arranged at appropriate intervals without overlapping, and
• wherein the dynamic model is stored in a memory of the computer.