๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Efficient discovery of influential nodes for SIS models in social networks

โœ Scribed by Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda


Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
693 KB
Volume
30
Category
Article
ISSN
0219-1377

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Numerical Algorithms for Flows in the No
โœ Vladimir Karlin ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 685 KB

This work is aimed at developing efficient computational algorithms for numerical simulation of steady-state incompressible vis-sional (or ''integral'') models of the whole cardiovascular cous flows in nodes of circulation networks. High order accuracy circulation network take into account the mutua

Neural network model for the efficient c
โœ E. A. Soliman; M. A. El-Gamal; A. K. Abdelmageed ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 317 KB

In this article, neural networks are employed for fast and efficient calculation of Green's functions in a layered medium. Radial basis function networks (RBFNs) are effectively trained to estimate the coefficients and the exponents that represent a Green's function in the discrete complex image met