Distinct Degrees and Their Distribution in Complex Networks
arXiv:1304.1951 · doi:10.1088/1742-5468/2013/06/P06002
Abstract
We investigate a variety of statistical properties associated with the number of distinct degrees that exist in a typical network for various classes of networks. For a single realization of a network with N nodes that is drawn from an ensemble in which the number of nodes of degree k has an algebraic tail, N_k ~ N/k^nu for k>>1, the number of distinct degrees grows as N^{1/nu}. Such an algebraic growth is also observed in scientific citation data. We also determine the N dependence of statistical quantities associated with the sparse, large-k range of the degree distribution, such as the location of the first hole (where N_k=0), the last doublet (two consecutive occupied degrees), triplet, dimer (N_k=2), trimer, etc.
12 pages, 6 figures, iop format. Version 2: minor corrections
References in corpus (5)
- Efficient and exact sampling of simple graphs with given arbitrary degree sequence
- Zipf's Law Leads to Heaps' Law: Analyzing Their Relation in Finite-Size Systems
- Nonuniversal power law scaling in the probability distribution of scientific citations
- Stochastic dynamical model of a growing network based on self-exciting point process
- Runaway Events Dominate the Heavy Tail of Citation Distributions