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BUILDING RANDOM TREES FROM BLOCKS*

Published online by Cambridge University Press:  19 November 2013

M. Gopaladesikan ,
H. Mahmoud  and
M.D. Ward
M. Gopaladesikan
Affiliation:
Department of Statistics, Purdue University, West Lafayette, Indiana 47907. E-mail: mgopalad@purdue.edu
H. Mahmoud
Affiliation:
Department of Statistics, The George Washington University, Washington, D.C. 20052. E-mail: hosam@gwu.edu
M.D. Ward
Affiliation:
Department of Statistics, Purdue University, West Lafayette, Indiana 47907. E-mail: mdw@purdue.edu
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Abstract

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Many modern networks grow from blocks. We study the probabilistic behavior of parameters of a blocks tree, which models several kinds of networks. It grows from building blocks that are themselves rooted trees. We investigate the number of leaves, depth of nodes, total path length, and height of such trees. We use methods from the theory of Pólya urns and martingales.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 28 , Issue 1 , January 2014 , pp. 67 - 81
Copyright
Copyright © Cambridge University Press 2013 

Footnotes

*

Dedicated to the memory of Philippe Flajolet.

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