TY - GEN AU - Newman, M. E. J. A2 - T1 - The structure and function of complex networks JO - PB - C1 - PY - 2003/03 VL - IS - SP - EP - UR - http://arxiv.org/abs/cond-mat/0303516 DO - KW - algorithm KW - clustering KW - complex_systems KW - folksonomy KW - information KW - kdubiq KW - network KW - retrieval KW - scale_free_networks KW - small KW - socialnetwork KW - summerschool KW - theory KW - web KW - web_graph KW - world L1 - N1 - N1 - AB - 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. ER -