%0 Journal Article %1 newman03structure %A Newman, Mark E. J. %D 2003 %J SIAM Review %K imported %P 167--256 %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{newman03structure, 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 = {2008-08-15T20:29:46.000+0200}, author = {Newman, Mark E. J.}, biburl = {https://www.bibsonomy.org/bibtex/2f9603ed51d0d3d587f842a481e9b2833/cabird}, date-added = {2008-01-20 20:35:50 -0800}, date-modified = {2008-01-20 20:35:51 -0800}, description = {my huge bibtex}, interhash = {7bedd01cb4c06af9f5200b0fb3faa571}, intrahash = {f9603ed51d0d3d587f842a481e9b2833}, journal = {SIAM Review}, keywords = {imported}, pages = {167--256}, timestamp = {2008-08-15T20:31:16.000+0200}, title = {The structure and function of complex networks}, volume = 45, year = 2003 }