Logo

Random Graphs and Complex Networks

Small book cover: Random Graphs and Complex Networks

Random Graphs and Complex Networks
by

Publisher: Eindhoven University of Technology
Number of pages: 363

Description:
These lecture notes are intended to be used for master courses, where the students have a limited prior knowledge of special topics in probability. Therefore, we have included many of the preliminaries, such as convergence of random variables, probabilistic bounds, coupling, martingales and branching processes. These notes are aimed to be self-contained, and to give the readers an insight in the history of the field of random graphs.

Home page url

Download or read it online for free here:
Download link
(3.8MB, PDF)

Similar books

Book cover: Applied ProbabilityApplied Probability
by - Connexions
This textbook covers most aspects of advanced and applied probability. The book utilizes a number of user defined m-programs, in combination with built in MATLAB functions, for solving a variety of probabilistic problems.
(12925 views)
Book cover: Recent Progress on the Random Conductance ModelRecent Progress on the Random Conductance Model
by - arXiv
Recent progress on understanding of the Random Conductance Model is reviewed and commented. A particular emphasis is on the results on the scaling limit of the random walk among random conductances for almost every realization of the environment.
(9428 views)
Book cover: Probability Theory: The Logic of ScienceProbability Theory: The Logic of Science
by - Cambridge University Press
The book is addressed to readers familiar with applied mathematics at the advanced undergraduate level. The text is concerned with probability theory and all of its mathematics, but now viewed in a wider context than that of the standard textbooks.
(16078 views)
Book cover: Probability, Random Processes, and Ergodic PropertiesProbability, Random Processes, and Ergodic Properties
by - Springer
A self-contained treatment of the theory of probability, random processes. It is intended to lay theoretical foundations for measure and integration theory, and to develop the long term time average behavior of measurements made on random processes.
(14162 views)