𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Universal properties of growing networks

✍ Scribed by P.L Krapivsky; B Derrida


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
250 KB
Volume
340
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.

✦ Synopsis


Networks growing according to the rule that every new node has a probability p k of being attached to k preexisting nodes, have a universal phase diagram and exhibit power-law decays of the distribution of cluster sizes in the non-percolating phase. The percolation transition is continuous but of inΓΏnite order and the size of the giant component is inΓΏnitely di erentiable at the transition (though of course non-analytic). At the transition the average cluster size (of the ΓΏnite components) is discontinuous.


πŸ“œ SIMILAR VOLUMES


Synthesis of universal networks
✍ A. M. Romankevich πŸ“‚ Article πŸ“… 1971 πŸ› Springer US 🌐 English βš– 177 KB
A family of universal recurrent networks
✍ Pascal Koiran πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 512 KB

Hava Siegelmann and Eduardo Sontag have shown that recurrent neural networks using the linear-bounded sigmoid are computationally universal. We show that this remains true if the linear-bounded sigmoid is replaced by any function in a fairly large class.

Universal Properties of Infinite Matrice
✍ Roy O. Davies; Michael P. Drazin; Mark L. Roberts πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 148 KB