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. Author manuscript; available in PMC: 2013 Mar 1.
Published in final edited form as: Eur J Neurosci. 2012 Mar;35(6):805–825. doi: 10.1111/j.1460-9568.2012.08035.x

Figure 1. Network architectures and efficiency statistics.

Figure 1

(A) Different types of networks. Regular network in which nodes are connected only to their two nearest neighbors on either side (left). Small world network, in which a small number of local connections are replaced by long-distance connections at random locations (center). Random network, in which nodes are connected at random, with a resulting loss of local connectivity (right). (B) Global efficiency (Eglobal, solid line) and local efficiency (Elocal, dashed line) as a function of the probability of random connections.