2015
DOI: 10.1088/1742-6596/604/1/012004
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Measuring microscopic evolution processes of complex networks based on empirical data

Abstract: Abstract. Aiming at understanding the microscopic mechanism of complex systems in real world, we perform the measurement that characterizes the evolution properties on two empirical data sets. In the Autonomous Systems Internet data, the network size keeps growing although the system suffers a high rate of node deletion (r = 0.4) and link deletion (q = 0.81). However, the average degree keeps almost unchanged during the whole time range. At each time step the external links attached to a new node are about c =… Show more

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