| Records |
| Author |
Newman, M.E.J. |
| Title |
The Structure and Function of Complex Networks |
Type |
Journal Article |
| Year |
2003 |
Publication |
SIAM Review |
Abbreviated Journal |
SIAM Rev. |
| Volume |
45 |
Issue |
2 |
Pages |
167-256 |
Keywords  |
networks; graph theory; complex systems; computer networks; social networks; random graphs; percolation theory |
| Abstract |
Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
Siam |
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
Equine Behaviour @ team @ |
Serial |
5214 |
| Permanent link to this record |
| |
|
| |
| Author |
Krause, J.; Croft, D.; James, R. |
| Title |
Social network theory in the behavioural sciences: potential applications |
Type |
Journal Article |
| Year |
2007 |
Publication |
Behavioral Ecology and Sociobiology |
Abbreviated Journal |
Behav. Ecol. Sociobiol. |
| Volume |
62 |
Issue |
1 |
Pages |
15-27 |
| Keywords |
Social networks – Social organisation – Mate choice – Disease transmission – Information transfer – Cooperation |
| Abstract |
Abstract Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
Equine Behaviour @ team @ |
Serial |
5171 |
| Permanent link to this record |
