Case Study of Co-Authorship Networks Using a Tool for Graph Visualization

Andre Suslik SpritzerFernando Profs VolquindCarla M. D. S. Freitas

One of the most common applications of graph visualization is in the study of social networks. This paper shows how a paper co-authorship network can be explored using a graph visualization technique. The technique utilized builds upon the physics metaphor of traditional force-directed graph layouts to provide the user with interactive tools for the manipulation of the graph. These tools consist basically of magnets, which can be set to attract nodes and edges depending on their topological and semantic properties. In this work we show how they can be simply used to answer common questions about co-authorship networks.

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