Centrality Research on the Traditional Chinese Medicine Network

Aiming at the complex data in the traditional Chinese medicine, a new way is proposed in this paper that data mining of complex relations to find out the potential information among different medicine objects. We turned the traditional Chinese medicine knowledge network into graph by using information from ontology, then adopted centrality algorithm to analyze and process this graph, and finally mined valuable medicine knowledge. As the result of the verification test, this algorithm shows very good practicability.