Statistical mechanics of complex networks Export

@article{citeulike:333029, abstract = {Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links. While traditionally these systems were modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks is governed by robust organizing principles. Here we review the recent advances in the field of complex networks, focusing on the statistical mechanics of network topology and dynamics. After reviewing the empirical data that motivated the recent interest in networks, we discuss the main models and analytical tools, covering random graphs, small-world and scale-free networks, as well as the interplay between topology and the network's robustness against failures and attacks.}, archivePrefix = {arXiv}, author = {Albert, R\'{e}ka and Barab\'{a}si, Albert-L\'{a}szl\'{o}}, citeulike-article-id = {333029}, citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0106096}, citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0106096}, citeulike-linkout-2 = {http://dx.doi.org/10.1103/RevModPhys.74.47}, citeulike-linkout-3 = {http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2002RvMP...74...47A}, day = {6}, doi = {10.1103/RevModPhys.74.47}, eprint = {cond-mat/0106096}, issn = {0034-6861}, journal = {Reviews of Modern Physics}, keywords = {graphs, math, network, statistics, theory}, month = {January}, number = {1}, pages = {47--97}, posted-at = {2008-10-06 03:22:40}, priority = {5}, title = {Statistical mechanics of complex networks}, url = {http://dx.doi.org/10.1103/RevModPhys.74.47}, volume = {74}, year = {2002} }

TY - JOUR ID - citeulike:333029 L3 - citeulike-article-id:333029 N2 - Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links. While traditionally these systems were modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks is governed by robust organizing principles. Here we review the recent advances in the field of complex networks, focusing on the statistical mechanics of network topology and dynamics. After reviewing the empirical data that motivated the recent interest in networks, we discuss the main models and analytical tools, covering random graphs, small-world and scale-free networks, as well as the interplay between topology and the network's robustness against failures and attacks. IS - 1 JF - Reviews of Modern Physics SN - 0034-6861 EP - 97 TI - Statistical mechanics of complex networks VL - 74 SP - 47 KW - graphs KW - math KW - network KW - statistics KW - theory AU - Albert, Réka AU - Barabási, Albert-László PY - 2002/01/06/ UR - http://dx.doi.org/10.1103/RevModPhys.74.47 ER -