Emergence of tempered preferential attachment from optimization
- *Department of Mechanical and Aeronautical Engineering, University of California, Davis, CA 95616;
- ‡Microsoft Research, Redmond, WA 98052;
- §Department of Mathematics, University of California, Los Angeles, CA 90095; and
- ¶Department of Computer Science, Cornell University, Ithaca, NY 14853
-
Edited by H. Eugene Stanley, Boston University, Boston, MA, and approved February 2, 2007 (received for review August 6, 2006)
-
Fig. 1.
The one-parameter TPA model. (A) An example of the growth process on the line, with 1/α = 4. Node t arrives and wants to minimize the cost function αn tj + h j, where n tj is the number of existing nodes in the interval between t and j, and h j is the hop-count of node j to the root. The minimization can only be achieved by connecting to the adjacent node i (so that n ti = 0), or to the parent of i (which has h p = h i − 1). If n tp ≥ 1/α (as is the case illustrated), i gains the new attachment, otherwise p does. Thus as soon as there are 1/α children of node p, node p's attractiveness saturates. (B) The equivalent network structure resulting from the growth process on the line.
-
Fig. 3.
Comparison of PA and TPA graphs. Both graphs are grown to n = 1,000 nodes. The oldest N/4 nodes are colored blue, the next quarter green, then red, and finally orange. (A) PA graph. (B) TPA with A 1 = 17, A 2 = 10, thus γ = 1.83. Note the effects of aging in TPA; in contrast to PA, very few of the newest nodes attach to the root. Also, due to the minimization of hop-count, the diameter of the TPA graph is much smaller than that of the PA graph. By varying the choice of parameters A 1 and A 2, it is possible to achieve graphs of appearance intermediate between A and B, or even more extreme than B with respect to the diameter and the number of new nodes attaching to the root.
Footnotes
- †To whom correspondence should be addressed. E-mail: raissa{at}cse.ucdavis.edu
- © 2007 by The National Academy of Sciences of the USA








