The Study Of Scientific Collaboration Networks And Citation Networks Based On MATCH

Scientific collaboration networks are resulted from co-authored in researching workers and citation networks are a kind of networks resulted from the mutual citation relations in scientific articles by collaborating or citing. The two different networks are special cases of complex networks. By analyzing the topology properties, we find that the two networks have very important significance for the dissemination of knowledge, scientific and technological innovation and new thinking. The research contents of this paper are as follows:Firstly, based on the database of scientific papers published in MATCH Communications in Mathematical and in Computer Chemistry from 2000 to 2014, by combining complex network theory and social network analysis in this paper we construct the network of collaboration between scientists. In the network, two scientists are connected by an edge if they have coauthored one or more papers together. At the same time, we investigate a variety of statistical properties of the network, including average path length between scientists, degree distribution, clustering coefficient, betweenness, existence and size of a giant connected component of the networks. The results show that the scientific collaboration network is a non-connected network and the giant connected components present the characteristic of scale-free and small-world.Secondly, based on the database of scientific articles published in MATCH Communications in Mathematical and in Computer Chemistry from 2005 to 2014, we construct the citation network, analyze the in-degree distribution and the out-degree distribution of the network and point to the important articles in the process of dissemination of literature. Finally, we give some evaluation for the important articles by combining the centrality approach of the social network analysis.