Nobelist TD Lee scientist cooperation network (TDLSCN) and their innovation ability are studied. It is found that the TDLSCN not only has the common topological properties both of scale-free and small-world for a general scientist cooperation networks, but also appears ... View more
Bi, Q., Fang, J. Q..
Network Science and Statistical Physics. 2011
Fang, J. Q., Wang, X. F., Zheng, Z. G., Bi, Q., Di, Z. R., Li, X.. New interdisciplinary science.
Progress in Physics. 2007; 27 (3): 239-343
Newman, M. E. J.. Scientific collaboration networks. I. Network construction and fundamental results.
Physical Review E. 2001; 64-8
Barabási, A. L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., Vicsek, T.. Evolution of the social network of scientific collaborations.
Physica A. 2002; 311 (3-4): 590-614
Barrat, A., Barthélemy, M., Pastor-Satorras, R., Vespignani, A.. The architecture of complex weighted networks.
Proceedings of the National Academy of Sciences of the United States of America. 2004; 101 (11): 3747-3752
Almaas, E., Kovács, B., Vicsek, T., Oltvai, Z. N., Barabasi, A. L.. Global organization of metabolic fluxes in the bacterium Escherichia coli.
Nature. 2004; 427: 839-843
Li, M., Wang, D., Fan, Y., Di, Z., Wu, J.. Modelling weighted networks using connection count.
New Journal of Physics. 2006; 8: 72
Li, M., Wu, J., Wang, D., Zhou, T., Di, Z., Fan, Y.. Evolving model of weighted networks inspired by scientific collaboration networks.
Physica A. 2007; 375 (1): 355-364
Lee, T. D..
Soler, J. M.. A rational indicator of scientific creativity.
Journal of Informetrics. 2007; 1 (2): 123-130