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algorithms:katz

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algorithms:katz [2018/12/04 16:22]
systems
algorithms:katz [2018/12/20 14:20] (current)
systems
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 ^Input parameter ^Type ^Default ^Description ^ ^Input parameter ^Type ^Default ^Description ^
-|Iterations |int > 0 |100 |Number of iterations in the plugin.| +|Iterations|int > 0 |100 |Number of iterations in the plugin.| 
-|Alpha |float ∈ (0,1) |0.5 |Amount of centrality assigned to each node. This number multiplies the reciprocal of the largest eigenvalue of the adjacency matrix in the computation.| +|Alpha|float ∈ (0,1) |0.5 |Amount of centrality assigned to each node. This number multiplies the reciprocal of the largest eigenvalue of the adjacency matrix in the computation.| 
-|Eigenvector property|text |None |Node property that represents the Eigenvector Centrality. It speeds up the calculation. If not specified, BeGraph calculates it because it is required for the Katz Centrality in an intermediate step.| +|Eigenvector property |text |None |Node property that represents the Eigenvector Centrality. It speeds up the calculation. If not specified, BeGraph calculates it because it is required for the Katz Centrality in an intermediate step.| 
-|Weight property|text |None |Name of the link property to use as a weight. Must have positive values.| +|Weight property |text |None |Name of the link property to use as a weight. Must have positive values.| 
- * //Advanced Configuration Parameter//+ * //Required Field//
 \\  ​ \\  ​
 In the case of a directed network, the Katz Centrlaity calculation may present numerical instabilities and give an error, in a similar way as the Eigenvector Centrality. In the case of a directed network, the Katz Centrlaity calculation may present numerical instabilities and give an error, in a similar way as the Eigenvector Centrality.
algorithms/katz.txt · Last modified: 2018/12/20 14:20 by systems