Abstract
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This paper presents an algorithm for generating scale-free networks with adjustable clustering coefficient. The algorithm is based on a random walk procedure combined with a triangle generation scheme which takes into account genetic factors; this way, preferential attachment and clustering control are implemented using only local information. Simulations are presented which support the validity of the scheme, characterizing its tuning capabilities. | |
International
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Si |
Congress
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IEEE Network Science Workshop |
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960 |
Place
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West Point ,NY, EEUU |
Reviewers
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Si |
ISBN/ISSN
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978-1-4577-1049-0 |
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10.1109/NSW.2011.6004642 |
Start Date
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22/06/2011 |
End Date
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24/06/2011 |
From page
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167 |
To page
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172 |
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Network Science Workshop (NSW), 2011 IEEE |