Scientific Collaboration Network Based on MATCH Communications in Mathematical and in Computer Chemistry

Using the database of scientific papers published in MATCH Communications in Mathematical and in Computer Chemistry from 2000 to 2012, by combining complex network theory and social network analysis, we construct the network of collaboration between scientists. In the network two scientists are connected if they have coauthored one or more papers together. At the same time, we study 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 component of connected scientists. The result shows that the scientific collaboration network is a non-connected network and presents the network characteristic of scale-free and small-world.