Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
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Newman, M.E.J. | The structure and function of complex networks | 2003 | misc | URL | |
Abstract: Inspired by empirical studies of networked systems such as the Internet,
cial networks, and biological networks, researchers have in recent years veloped a variety of techniques and models to help us understand or predict e behavior of these systems. Here we review developments in this field, cluding such concepts as the small-world effect, degree distributions, ustering, network correlations, random graph models, models of network growth d preferential attachment, and dynamical processes taking place on networks. |
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BibTeX:
@misc{citeulike:155, author = {Newman, M. E. J.}, title = {The structure and function of complex networks}, year = {2003}, url = {http://arxiv.org/abs/cond-mat/0303516} } |
Created by JabRef on 27/04/2024.