Abstract
Physical interactions among molecules, cells, and tissues influence research in biology. While conferences and departments are created to study these interactions, previous attempts to understand the large-scale organization of science have only focused on social relationships among scientists. Here, we combine the structure of molecular interaction networks with other science networks, such as coauthorship networks, for a more complete representation of the interests and relationships that determine the direction and impact of research. This multilayer network that we call Synergy Landscapes will allow us to identify broad patterns of scientific research, and in particular factors that predict innovative and high-impact research. Synergy Landscapes also will dynamically track research trends in a customized framework that informs scientists of research on molecules which are relevant to their core research areas. This will facilitate collaborations that would otherwise be difficult to produce and which mirror the natural organization of biological systems.
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© 2016 Springer International Publishing Switzerland
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Kuzmin, K., Gaiteri, C., Szymanski, B.K. (2016). Synergy Landscapes: A Multilayer Network for Collaboration in Biological Research. In: Wierzbicki, A., Brandes, U., Schweitzer, F., Pedreschi, D. (eds) Advances in Network Science. NetSci-X 2016. Lecture Notes in Computer Science(), vol 9564. Springer, Cham. https://doi.org/10.1007/978-3-319-28361-6_18
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DOI: https://doi.org/10.1007/978-3-319-28361-6_18
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