Random Graphs and Random Maps:
Statistical Physics Approaches to Static and Dynamical Properties
Suggestions for further readings:
- B. Bollobas, Random Graphs, Cambridge University Press (2001)
- N.C. Wormald, The differential equation method for random graph processes and greedy algorithms, in Lectures on Approximation and Randomized Algorithms (M. Karonski and H.J. Proemel, eds), pp. 73-155. PWN, Warsaw (1999)
- D.J. Amit, Modeling Brain Function: The World of Attractor Neural Networks, Cambridge University Press (1992)
- for more on statistical mechanics and random Boolean systems, see R. Monasson, Introduction to Phase Transitions in Random Optimization Problems, Lecture Notes of Les Houches Summer School, Elsevier (2006) and references therein.