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This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and characterizes the network by some varying quantities: the clustering coefficient, the average degree, diameter, average distance and components. Consequently, this paper visualizes the researcher co-authorship network which can lead to a better understanding of the applications of information visualization technology.
Meng et al. (Sun,) studied this question.