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- W2892356789 abstract "We focus on spatially-extended networks during their transition from short-range connectivities to a scale-free structure expressed by heavy-tailed degree-distribution. In particular, a model is introduced for the generation of such graphs, which combines spatial growth and preferential attachment. In this model the transition to heterogeneous structures is always accompanied by a change in the graph's degree-degree correlation properties: while high assortativity levels characterize the dominance of short distance couplings, long-range connectivity structures are associated with small amounts of disassortativity. Our results allow to infer that a disassortative mixing is essential for establishing long-range links. We discuss also how our findings are consistent with recent experimental studies of 2-dimensional neuronal cultures." @default.
- W2892356789 created "2018-09-27" @default.
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- W2892356789 date "2018-09-14" @default.
- W2892356789 modified "2023-10-12" @default.
- W2892356789 title "Assortative mixing in spatially-extended networks" @default.
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- W2892356789 doi "https://doi.org/10.1038/s41598-018-32160-4" @default.
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