TY - GEN
T1 - Synergy landscapes
T2 - 12th International Conference and School on Advances in Network Science, NetSci-X 2016
AU - Kuzmin, Konstantin
AU - Gaiteri, Christopher
AU - Szymanski, Boleslaw K.
N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Collaboration networks
KW - Molecular networks
KW - Multilayer networks
UR - https://www.scopus.com/pages/publications/84955301244
U2 - 10.1007/978-3-319-28361-6_18
DO - 10.1007/978-3-319-28361-6_18
M3 - Conference contribution
SN - 9783319283609
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 205
EP - 212
BT - Advances in Network Science - 12th International Conference and School, NetSci-X 2016, Proceedings
A2 - Brandes, Ulrik
A2 - Pedreschi, Dino
A2 - Wierzbicki, Adam
A2 - Schweitzer, Frank
PB - Springer Verlag
Y2 - 11 January 2016 through 13 January 2016
ER -