Core and visualization analysis based on network of co-citation

This paper attempts to utilize social network analysis to disclose the relation structure of core journals. Journal co-citation network structure was analyzed from perspective of a social network analysis of the whole network through transforming the 29 kind management science journal's co-citation multi-value matrix into two-value matrix network. Some quantitative characteristics of the network such as density, centrality, k-core, Core-periphery structure were revealed and the results were mapping through visualization. The results concern: The journal co-citation network does not have a strong cohesion; journals can be roughly classified as four categories; there are 12 journals in the network when K-core is 5; the network can be divided into the ground at the core of 11 journals and 18 journals at the edge of the structure.