Citing this article

A standard form of citation of this article is:

Hamill, Lynne and Gilbert, Nigel (2009). 'Social Circles: A Simple Structure for Agent-Based Social Network Models'. Journal of Artificial Societies and Social Simulation 12(2)3 <http://jasss.soc.surrey.ac.uk/12/2/3.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{hamill2009,
title = {Social Circles: A Simple Structure for Agent-Based Social Network Models},
author = {Hamill, Lynne and Gilbert, Nigel},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {12},
number = {2},
pages = {3},
year = {2009},
URL = {http://jasss.soc.surrey.ac.uk/12/2/3.html},
keywords = {Social Networks, Personal Networks, Agent-Based Models},
abstract = {None of the standard network models fit well with sociological observations of real social networks. This paper presents a simple structure for use in agent-based models of large social networks. Taking the idea of social circles, it incorporates key aspects of large social networks such as low density, high clustering and assortativity of degree of connectivity. The model is very flexible and can be used to create a wide variety of artificial social worlds.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.


TY - JOUR
TI - Social Circles: A Simple Structure for Agent-Based Social Network Models
AU - Hamill, Lynne
AU - Gilbert, Nigel
Y1 - 2009/03/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 12
IS - 2
SP - 3
UR - http://jasss.soc.surrey.ac.uk/12/2/3.html
KW - Social Networks
KW - Personal Networks
KW - Agent-Based Models
N2 - None of the standard network models fit well with sociological observations of real social networks. This paper presents a simple structure for use in agent-based models of large social networks. Taking the idea of social circles, it incorporates key aspects of large social networks such as low density, high clustering and assortativity of degree of connectivity. The model is very flexible and can be used to create a wide variety of artificial social worlds.
ER -