Books `Random Graphs and Complex Networks'


by Remco van der Hofstad.

 

★ Random Graphs and Complex Networks Volume One (April 6, 2018 version).

In December 2016, `Random Graphs and Complex Networks Volume One' has appeared with Cambridge University Press as Volume 43 in the Cambridge Series in Statistical and Probabilistic Mathematics. The pdf-file on this page has been updated so as to agree with the final version that is in print as closely as possible.

★ Solutions to exercises for Random Graphs and Complex Networks Volume One are available upon request.
These solutions are meant for lecturers who teach random graph related courses. Please send along with your request a webpage of the course for which the book is being used.
Solutions to exercises for Random Graphs and Complex Networks Volume One (November 20, 2019 version).
★ Corrigenda to Random Graphs and Complex Networks Volume One (February 28, 2023 version).
The author welcomes all further comments that you might have!



★ Random Graphs and Complex Networks Volume Two (Final version April 16, 2024):

In February 2024, `Random Graphs and Complex Networks Volume Two' has appeared with Cambridge University Press as Volume 54 in the Cambridge Series in Statistical and Probabilistic Mathematics.


★ Solutions to exercises for Random Graphs and Complex Networks Volume Two are available upon request.
Again, these solutions are meant for lecturers who teach random graph related courses. Please send along with your request a webpage of the course for which the book is being used.


★ Corrigenda to Random Graphs and Complex Networks Volume Two (May 29, 2024 version).
The author welcomes all further comments that you might have!

★ Suggested course outlines for a graduate course based on Volume Two:

  1. Course outline on Local Convergence of Random Graphs.
     
  2. Course outline on local convergence, giant components and small-world behaviour of Inhomogeneous Random Graphs.
     
  3. Course outline on local convergence, giant components and small-world behaviour of Configuration Models.
     
  4. Course outline on local convergence, giant components and small-world behaviour of Preferential Attachment Models.