Measuring preferential attachment for evolving networks

7 Apr 2001 H. Jeong Z. Neda A. -L. Barabasi

A key ingredient of current models proposed to capture the topological evolution of complex networks is the hypothesis that highly connected nodes increase their connectivity faster than their less connected peers, a phenomenon called preferential attachment. Measurements on four networks, namely the science citation network, Internet, actor collaboration and science coauthorship network indicate that the rate at which nodes acquire links depends on the node's degree, offering direct quantitative support for the presence of preferential attachment... (read more)

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Categories


  • STATISTICAL MECHANICS
  • DISORDERED SYSTEMS AND NEURAL NETWORKS