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algorithms:communities_louvain

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algorithms:communities_louvain [2018/11/06 10:42]
systems
algorithms:communities_louvain [2018/12/20 14:20] (current)
systems
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 ^Input parameter ^Type ^ Default ^ Description ^ ^Input parameter ^Type ^ Default ^ Description ^
 |Resolution*|float > 0|1.0|Resolution parameter for the modularity (usually denoted by **t**), which controls the number of communities identified. Reduce it to increase the number of communities,​ and increase it to reduce the number of communities. | |Resolution*|float > 0|1.0|Resolution parameter for the modularity (usually denoted by **t**), which controls the number of communities identified. Reduce it to increase the number of communities,​ and increase it to reduce the number of communities. |
-|Link Weight|text |None |Name of the link property that plays the role of strength. Its values should be positive numbers. | +|Link Weight |text |None |Name of the link property that plays the role of strength. Its values should be positive numbers. | 
-|Seed* |int |0|Random seed for the algorithm initialization. Set it to zero to let the system choose it randomly from the computer clock.| +|Seed |int |0|Random seed for the algorithm initialization. Set it to zero to let the system choose it randomly from the computer clock.| 
-  * //Advanced Configuration Parameter//+ * //Required Field//
 \\  ​ \\  ​
 The following three pictures represent three different partitions in communities of a social network. They correspond to three resolution parameters: 0.2, 1.0 and 3.0 from left to right, reducing the total number of communities. The following three pictures represent three different partitions in communities of a social network. They correspond to three resolution parameters: 0.2, 1.0 and 3.0 from left to right, reducing the total number of communities.
algorithms/communities_louvain.txt · Last modified: 2018/12/20 14:20 by systems