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.
Brief and comprehensive introduction into the analysis of complex networks. A very good starting point!
Referenzen
Bookmarks
Rezension wird gelöscht
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Journal Article
%1 newman2003structure
%A Newman, M.E.J.
%D 2003
%I JSTOR
%J SIAM review
%K
%N 2
%P 167--256
%R 10.1137/S003614450342480
%T The Structure and Function of Complex Networks
%V 45
%X 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.
@article{newman2003structure,
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.},
added-at = {2011-12-08T08:38:58.000+0100},
author = {Newman, M.E.J.},
biburl = {https://www.bibsonomy.org/bibtex/2cf461fed5e29f83bd9f3726a1713a832/folke},
doi = {10.1137/S003614450342480},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {cf461fed5e29f83bd9f3726a1713a832},
issn = {0036-1445},
journal = {SIAM review},
keywords = {},
number = 2,
pages = {167--256},
publisher = {JSTOR},
timestamp = {2011-12-08T08:38:58.000+0100},
title = {The Structure and Function of Complex Networks},
volume = 45,
year = 2003
}