Analysis Of Patterns Of Collaboration Of Authors In Coauthorship Networks

The fast development of the technology and the scientific research make researchers hard to complete projects and papers. The collaboration can improve the research production and efficiency. As the primary production of the research, the papers are nearly done by several authors, and the phenomenon is more and more prominent. On the other hand, many parts in the technology management such as the choice of experts to examine projects and the constituting of scientific policy are involved in the evaluation of experts. Therefore, when evaluating experts, we should also attach importance to the collaboration in scientific research.Under the background, the present dissertation makes the patterns of collaboration the keystone in our research. And divide the patterns of collaboration into authors'centralities, the patterns of distribution of different subjects and the roles based on the co-authorship network structure. The centralities are then divided into the eigenvector centrality based on the collaborative strength and the extensity centrality based on the collaborative strength. As for the data set, we choose the papers in proceedings of the international conference on ACM SIGKDD. Based on the data set, we construct the network termed the co-authorship network of ACM SIGKDD.We apply the Salton's measure which is used to measure the collaborative strength between two regions to the measurement of collaborative strength between two authors. And then apply this collaborative strength between two authors to the eigenvector centrality. We also analyze the differences of the eigenvector centrality between considering this collaborative strength and not. The results indicate that this collaborative strength really make some differences. In addition, the correlation of the eigenvector centrality based on collaborative strength and the degree is analyzed.Authors'patterns of collaboration also include the extensity of authors'collaborative relationships. Base on the extensity of authors'collaborative relationships, we propose a new centrality which can measure authors'degree of activity of collaboration, namely the extensity centrality. This new centrality is based on Shannon's entropy, the collaborative strength and the communities based on the lambda sets. The results indicate that authors with high extensity centrality will also have high betweenness. But the opposition is not necessarily the case. In addition, the correlation of the extensity centrality and the degree is analyzed.As for the patterns of the distribution of subjects, we divide them into the number of authors'subjects, the heterogeneity of subjects and the equality of the distribution of subjects. After proposing the computing methods of the heterogeneity of subjects and the equality of the distribution of subjects, we analyze the correlation of the patterns of the distribution of subjects and the degree and the extensity centrality. In addition, we also do the classification of authors.Finally, we apply the automorphic equivalence analysis to the analysis of authors'roles in co-authorship networks. And we extractive some representative roles from these roles based on the analysis. The results indicate that when apply the automorphic equivalence analysis to the analysis of authors'roles, we can not focus only on the precise results because of its omit of some important roles. In addition, authors'role in co-authorship networks can offset the shortage of the degree.All of these researches of this dissertation will not only enrich the academic fruit, but also supply the technology management and the constituting of scientific policy.