*The Theory of Critical Phenomena*. 1992, with James J. Binney, N. J. Dowrick, Andrew J. Fisher*Modeling Extinction*. 2003, with Richard G. Palmer*Networks: 1st edn*. 2010- [
*Networks: an introduction: 2nd edn*.] 2018

- Statistical methods of mass extinction. 2000. (In
*Unifying Themes in Complex Systems*) - Random graphs as models of networks. 2003. (In
*Handbook of Graphs and Networks*)

The successful calculation of critical exponents
for continuous phase transitions
is one of the main achievements of theoretical physics
over the last twenty five years.
This was achieved through the use of scaling
and field-theoretic techniques which have since become
standard equipment in many areas of physics,
especially quantum field theory.
This book provides a thorough introduction
to these techniques at a level suitable for beginning graduate students.
The text assumes only a sound undergraduate background in physics and mathematics.
Continuous phase transitions are introduced,
then the necessary statistical mechanics are summarized,
followed by standard models, some exact solutions,
and techniques for numerical simulation.
Next, the real-space renormalization group
and mean-field theory are explained and illustrated.
The last eight chapters cover the Landau–Ginzburg model,
from physical motivation, through diagrammatic perturbation theory and renormalization,
to the renormalization group and the calculation of
critical exponents above and below the critical temperature.

The study of networks, including computer networks,
social networks, and biological networks,
has attracted enormous interest in the last few years.
The rise of the Internet and the wide availability
of inexpensive computers have made it possible
to gather and analyze network data on an unprecedented scale,
and the development of new theoretical tools
has allowed us to extract knowledge from networks of many different kinds.
The study of networks is broadly interdisciplinary
and central developments have occurred in many fields, including
mathematics, physics, computer and information sciences,
biology, and the social sciences.
This book brings together for the first time
the most important breakthroughs in each of these fields
and presents them in a coherent fashion,
highlighting the strong interconnections
between work in different areas.

Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks.