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In this contribution, we apply tools from statistical physics, in particular, the rate equations, to quantify geometrical properties of evolving networks [1].
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Key Phrases - Statistically Improbable Phrases (SIPs):
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infected vertex, edge betweenness, assortative mixing, empirical degree distribution, preferential linking, epidemic threshold, many real networks, interacting words, arbitrary degree distribution, real food webs, long range links, preferential links, clustering coefficient, human sexual contacts, percolation properties, coli metabolism, random attachment, epidemic prevalence, giant component, router level, connectivity distribution, rate equation approach, spanning cluster, percolation transition, scale free networks
Key Phrases - Capitalized Phrases (CAPs):
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New York, Little Rock Lake, Cambridge University Press, Santa Fe Institute, Department of Physics, Silwood Park, Ythan Estuary, Academic Press, Computer Networks, Membrane Clusters of Ion Channels, Monte Carlo, National Survey of Family Growth
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