Random increasing k-trees represent an interesting and useful class of strongly dependent graphs that have been studied widely, including being used recently as models for complex networks. In this paper we study an informative notion called BFS-profile and derive, by several analytic means, asymptotic estimates for its expected value, together with the limiting distribution in certain cases; some interesting consequences predicting more precisely the shapes of random k-trees are also given. Our methods of proof rely essentially on a bijection between k-trees and ordinary trees, the resolution of linear systems, and a specially framed notion called Flajolet-Odlyzko admissibility.
机构:
Univ British Columbia Okanagan, Dept Comp Sci, Irving K Barber Sch Arts & Sci, Kelowna, BC V1V 1V7, CanadaUniv British Columbia Okanagan, Dept Comp Sci, Irving K Barber Sch Arts & Sci, Kelowna, BC V1V 1V7, Canada
机构:
Department of Computer Science, King's College, University of London, LondonDepartment of Computer Science, King's College, University of London, London
Cooper C.
Uehara R.
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机构:
School of Information Science, JAIST, IshikawaDepartment of Computer Science, King's College, University of London, London