Publication | Open Access
Impact of boundaries on fully connected random geometric networks
37
Citations
16
References
2012
Year
Network AnalysisEducationPercolation TransitionScale-free NetworkNetwork DynamicRandom Geometric NetworksMacroscopic Domain GeometryRandom GraphNetwork ComplexityDiscrete MathematicsProbabilistic Graph TheoryComputational GeometrySocial Network AnalysisPhysicsNetwork TheoryPattern FormationNetwork ScienceGraph TheoryNatural SciencesHigh-dimensional NetworkFull Connectivity
Many complex networks exhibit a percolation transition involving a macroscopic connected component, with universal features largely independent of the microscopic model and the macroscopic domain geometry. In contrast, we show that the transition to full connectivity is strongly influenced by details of the boundary, but observe an alternative form of universality. Our approach correctly distinguishes connectivity properties of networks in domains with equal bulk contributions. It also facilitates system design to promote or avoid full connectivity for diverse geometries in arbitrary dimension.
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