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add in the powerlaw sum of square errors to the statistics of distributions such as centrality. This feature was quite good in DD. To compute this feature we must first bin the data (histogram) and then find the optimal fitting powerlaw distribution to this binned data - then take the SSE from this.
We originally binned into 10, 20 and 50 bins and then fitted the powerlaw distribution and then extracted the SSE.
The text was updated successfully, but these errors were encountered:
add in the powerlaw sum of square errors to the statistics of distributions such as centrality. This feature was quite good in DD. To compute this feature we must first bin the data (histogram) and then find the optimal fitting powerlaw distribution to this binned data - then take the SSE from this.
We originally binned into 10, 20 and 50 bins and then fitted the powerlaw distribution and then extracted the SSE.
The text was updated successfully, but these errors were encountered: