2015
//
Network Science

Destruction perfected

Abstract
Pinpointing the nodes whose removal most effectively disrupts a network has become a lot easier with the development of an efficient algorithm. Potential applications might include cybersecurity and disease control. See Letter p.65, by F. Morone and H. A. Makse (Supplementary 1).

..

More publications
B. Barzel, Y.-Y. Liu, A.-L. Barabási

Nature Communications 6:7186, 1-8 (2015)

view
R. Sinatra, P. Deville, M. Szell, D. Wang, A.-L. Barabási

Nature Physics 11, 791-796 (2015)

view
M. Hawrylycz, J. A. Miller, V. Menon, D. Feng, T. Dolbeare, A. L. Guillozet-Bongaarts, A. G. Jegga, B. J. Aronow, C.-K. Lee, A. Bernard, M. F. Glasser, D. L. Dierker, J. Menche, A. Szafer, F. Collman, P. Grange, K. A. Berman, S. Mihalas, Z. Yao, L. Stewart, A.-L. Barabási, J. Schulkin, J. Phillips, L. Ng, C. Dang, D. R. Haynor, A. Jones, D. C. Van Essen, C. Koch, D. Lein

Nature Neuroscience 4171, 1-15 (2015)

view