The Markov Network Relationship Between Authors Found

In today's rapid development of information society, interpersonal relationship is absolutely basic to people's daily life and work, and mining for it is a very extensive and useful technology, such as online dating, online games community, technical forum as well as academic exchange group. This kind of technology can provide people with valuable information. Interpersonal relationships in a different scope of the concept vary, with different relationships. In this paper, academic relationships is a starting point and to dig out the relationships between the researchers as a representation, and finally to provide strong support for researchers to understand the network of cooperation in related fields.Mining association rules as a rule extraction techniques, which has a very mature technology and widely applied in many fields. Using association rules technology to extract and mining the network of relationships between researchers and researchers in academic papers. This paper is based on frequent pattern's extract algorithm from association rules, extracting part of paper from paper database as source of data acquisition, using Apriori algorithm from association rules to extract frequent pattern and to build Markov Network by using maximal frequent sets in frequent pattern.Then do some neccessary conversions on Markov Network, to produce CRG(cooperation relationship graph) which reflect the cooperative relations between the paper researchers. The main contribution of this paper can be briefly summarized as follows:●In order to be able to describe the relationship of researchers in academic research, this paper introduces the concept of cooperation relationship diagram to describe researchers and cooperative relations between the researchers.●Do some improvement and incremental processing on Apriori algorithm based on the actual situation which refered in this paper, to extract the frequent patterns of researchers, and proving the feasibility and efficiency of this improved algorithm by some experiments. ●Two different kinds of method to build Markov network is presented in this paper by analysis for the needs of users, respectively, to achieve CRGA (Cooperation Relationship Graph Based on All Reseachers) and CRGS (Cooperation Relationship Graph Based on Specified Reseachers)...