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## Uncorrelated networks

*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/9780199548927.003.0005
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

This chapter considers networks with an arbitrary degree distribution, in which the degrees of nodes are uncorrelated, including the degrees of the nearest-neighbour nodes. The two kinds of these ... More

## The configuration model

*Mark Newman*

### in Networks

- Published in print:
- 2018
- Published Online:
- October 2018
- ISBN:
- 9780198805090
- eISBN:
- 9780191843235
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198805090.003.0012
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

A discussion of the most fundamental of network models, the configuration model, which is a random graph model of a network with a specified degree sequence. Following a definition of the model a ... More

## Percolation and network resilience

*Mark Newman*

### in Networks

- Published in print:
- 2018
- Published Online:
- October 2018
- ISBN:
- 9780198805090
- eISBN:
- 9780191843235
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198805090.003.0015
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

A discussion of the site percolation process on networks and its application as a model of network resilience. The chapter starts with a description of the percolation process, in which nodes are ... 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

## Modelling

*Guido Caldarelli and Alessandro Chessa*

### in Data Science and Complex Networks: Real Case Studies with Python

- Published in print:
- 2016
- Published Online:
- December 2016
- ISBN:
- 9780199639601
- eISBN:
- 9780191782916
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199639601.003.0007
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

Once network structures are established it is important to be able to reproduce in a computer the system we are studying. We can use models to predict the outcome of an experiment, or to understand ... More

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