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The weighted random graph (WRG) model is presented here. A WRG is generated: the probability ... that a weight ... (i.e., a number ... of links) is present between any pair of vertices is ... . The adjacency matrix ... (the binary matrix where ... means that vertices ... and ... are connected) and the weighted adjacency matrix ... (where ... means that ... links are present between vertices ... and ... ) are shown. ... is the cumulative weight distribution, ... is the cumulative degree distribution (where ... ), and ... is the cumulative strength distribution (where ... ); the corresponding lines are red, green, and orange, respectively.

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      EUN,LOM,LRE4,work-cmr-id:397906,http://demonstrations.wolfram.com:http://demonstrations.wolfram.com/WeightedRandomGraph/,ilox,learning resource exchange,LRE metadata application profile,LRE

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