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Barabási-Albert random graphs, scale-free distributions and bounds for approximation through Stein's method

Abstract:

Barabási-Albert random graph models are a class of evolving random graphs that are frequently used to model social networks with scale-free degree distributions. It has been shown that Barabási-Albert random graph models have asymptotic scale-free degree distributions as the size of the graph tends to infinity. Real world networks, however, have finite size so it is important to know how close the degree distribution of a Barabási-Albert random graph of a given size is to its asymptotic distr...

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Jesus College
Role:
Author

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Division:
MPLS
Department:
Statistics
Role:
Supervisor
Publication date:
2009
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:b1091661-33b5-47fe-912c-61286159904a
Local pid:
ora:3595
Deposit date:
2010-03-31

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