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Sergey N. Dorogovtsev

in Lectures on Complex Networks

Published in print:
2010
Published Online:
May 2010
ISBN:
9780199548927
eISBN:
9780191720574
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199548927.003.0011
Subject:
Physics, Theoretical, Computational, and Statistical Physics

This chapter considers the specifics of walks, navigation, and search processes in networks of various architectures and geometries. It starts with discussion of random walks on complex networks, ... More


Graphs with hard constraints: further applications and extensions

A.C.C. Coolen, A. Annibale, and E.S. Roberts

in Generating Random Networks and Graphs

Published in print:
2017
Published Online:
May 2017
ISBN:
9780198709893
eISBN:
9780191780172
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198709893.003.0007
Subject:
Physics, Theoretical, Computational, and Statistical Physics

This chapter looks at further topics pertaining to the effective use of Markov Chain Monte Carlo to sample from hard- and soft-constrained exponential random graph models. The chapter considers the ... More


Advanced Monte Carlo methods

Michael P. Allen and Dominic J. Tildesley

in Computer Simulation of Liquids: Second Edition

Published in print:
2017
Published Online:
November 2017
ISBN:
9780198803195
eISBN:
9780191841439
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198803195.003.0009
Subject:
Physics, Theoretical, Computational, and Statistical Physics, Soft Matter / Biological Physics

This chapter describes the ways in which the Monte Carlo importance sampling method may be adapted to improve the calculation of ensemble averages, particularly those associated with free energy ... More


Network growth algorithms

A.C.C. Coolen, A. Annibale, and E.S. Roberts

in Generating Random Networks and Graphs

Published in print:
2017
Published Online:
May 2017
ISBN:
9780198709893
eISBN:
9780191780172
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198709893.003.0008
Subject:
Physics, Theoretical, Computational, and Statistical Physics

Growth processes are a fundamentally different approach compared to probability-driven exponential models covered in earlier chapters. This chapter studies how growth rules can be designed to mimic ... More


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