Title
Rank-Based Attachment Leads to Power Law Graphs
Abstract
We investigate the degree distribution resulting from graph generation models based on rank-based attachment. In rank-based attachment, all vertices are ranked according to a ranking scheme. The link probability of a given vertex is proportional to its rank raised to the power $-\alpha$, for some $\alpha\in(0,1)$. Through a rigorous analysis, we show that rank-based attachment models lead to graphs with a power law degree distribution with exponent $1+1/\alpha$ whenever vertices are ranked according to their degree, their age, or a randomly chosen fitness value. We also investigate the case where the ranking is based on the initial rank of each vertex; the rank of existing vertices changes only to accommodate the new vertex. Here, we obtain a sharp threshold for power law behavior. Only if initial ranks are biased towards lower ranks, or chosen uniformly at random, do we obtain a power law degree distribution with exponent $1+1/\alpha$. This indicates that the power law degree distribution often observed in nature can be explained by a rank-based attachment scheme, based on a ranking scheme that can be derived from a number of different factors; the exponent of the power law can be seen as a measure of the strength of the attachment.
Year
DOI
Venue
2010
10.1137/080716967
SIAM J. Discrete Math.
Keywords
Field
DocType
rank-based attachment,power law,degree distribution,initial rank,rank-based attachment scheme,protean graphs,. random graphs,lower rank,web graphs,power law behavior,power law graphs,dierential,power law degree distribution,ranking scheme,rank-based attachment model,scale free networks,random graph,random graphs
Discrete mathematics,Combinatorics,Random graph,Vertex (geometry),Exponent,Ranking,Scale-free network,Probability distribution,Degree distribution,Power law,Mathematics
Journal
Volume
Issue
ISSN
24
2
SIAM Journal of Discrete Math 24, 2010, pp. 420--440
Citations 
PageRank 
References 
3
0.48
11
Authors
2
Name
Order
Citations
PageRank
Jeannette Janssen129532.23
Paweł Prałat216216.57