Abstract
We investigate the structure of the co-authorship graph for the Conference on Implementation and Application of Automata (CIAA) with techniques from network sciences. This allows us to answer a broad variety of questions on collaboration patterns. Our findings are in line with (statistical) properties of other co-authorship networks from biology, physics and mathematics as conducted earlier by pioneers of network sciences.
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The interested readers who is able to help with disambiguation is invited to suggest corrections to the DBLP team.
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Gruber, H., Holzer, M., Rauch, C. (2022). On 25 Years of CIAA Through the Lens of Data Science. In: Caron, P., Mignot, L. (eds) Implementation and Application of Automata. CIAA 2022. Lecture Notes in Computer Science, vol 13266. Springer, Cham. https://doi.org/10.1007/978-3-031-07469-1_1
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