Abstract
We present a collaboration network of the faculty of a large polytechnic state university in the United States. In our network vertices represent researchers: faculty members at the university and collaborators of these faculty members. Edges between two researchers in this network represent some sort of collaborative experience: conference publication, journal publication, or grant application. In this paper we present a study of this network and various subnetworks with respect to gender.
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Acknowledgements
The authors would like to express their sincerest thanks to Professor Zoë Wood for inspiring this work based on her work with The Center for Research, Excellence and Diversity in Team Science (CREDITS), an integrated research and training program to increase and enhance Team Science and collective intelligence capacity, effectiveness, and excellence in California [5]. We would also like to express our thanks to Professor Foaad Khosmood for teaching our group about data sustainability and data scraping.
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McNichols, L., Medina-Kim, G., Nguyen, V.L., Rapp, C., Migler, T. (2020). Gender’s Influence on Academic Collaboration in a University-Wide Network. In: Cherifi, H., Gaito, S., Mendes, J., Moro, E., Rocha, L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 882. Springer, Cham. https://doi.org/10.1007/978-3-030-36683-4_8
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DOI: https://doi.org/10.1007/978-3-030-36683-4_8
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