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    "text": "Now, let's add some variables that are important for the algorithm.\n\n- linkage: The linkage method is applied to the link community algorithm.\n\n- nlog10: Take the logarithm of the data in case it is very heterogeneous.\n\n- lookup: For computing similarities and in the case of nlog10=T, set the zeros into the maximum value of the transformation.\n\n- mapping: Variable used together with nlog10, lookup, and prob. There are three mappings or transformations for the data: **R1** (invert the order), **R2** (preserve the order), and **trivial** (no transformation).\n\n- prob: If the data are probabilities, check that values are in the range (0, 1).\n\n- cut: Compute the quality functions in the link community process using all the steps (**False**) or only the steps which different link community dendrogram heights (**True**).\n\n- mode: Old feature. Associated to the self-loop weight in the feature vectors. Currently, the **ALPHA** mode, the average of the feature vector, and the **BETA** mode, the average using the opposite direction, are supported. The **ALPHA** mode is the traditional one.\n\n- topology: There are three topologies: **SOURCE**, **TARGET**, and **MIX**. This variable determines the direction of the similarities between the nodes\n\n- opt_score: Quality functions to find the best partition. Currently, there are three: $D$ (average link density), **$\\chi$** (susceptibility), and the maximum **$\\mu$**-score.\n",
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