Generating Random Graphs with Tunable Clustering Coefficient
Most real-world networks exhibit a high clustering coefficientâ the probability that two neighbors of a node are also neighbors of each other. We propose four algorithms CONF-1, CONF-2, THROW-1, and THROW-2 which are based on the configuration model and that take triangle degree sequence (represent...
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| Format: | Others |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/31591 http://scholar.lib.vt.edu/theses/available/etd-03312011-224622/ |