Titlebook: Dynamics On and Of Complex Networks, Volume 2; Applications to Time Animesh Mukherjee,Monojit Choudhury,Bivas Mitra Book 2013 Springer Scie

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ess connected individuals much more prone to change their opinions than more-connected ones or vice versa) lead to a steeper growth of consensus time with the system size, making the ordering process slower in general. Numerical simulations on quenched networks show that the HMF theory is able to pr

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An Empirical Validation of Growth Models for Complex Networks

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The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture stack, this chapter concentrates on the topology of the graph which changes with time as new nodes are created at different layers, and existing nodes are removed as a result of competition with other nodes at the same layer. A robustness study shows that the model produces hourglass structures for a wide range of parameter values.

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Opinion Dynamics on Coevolving Networksamics, in the form of removal or rewiring of connections, induces the appearance of new macroscopic patterns, such as stable or metastable coexistence of opinions, or the fragmentation of the network in communities.

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