----------------------------------------------------------------------------- Community detection Version 0.2 - not compatible with the previous version, see below. Based on the article "Fast unfolding of community hierarchies in large networks" Copyright (C) 2008 V. Blondel, J.-L. Guillaume, R. Lambiotte, E. Lefebvre This file is part of Louvain algorithm. Louvain algorithm is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Louvain algorithm is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Louvain algorithm. If not, see <http://www.gnu.org/licenses/>. ----------------------------------------------------------------------------- Author : E. Lefebvre, adapted by J.-L. Guillaume Email : jean-loup.guillaume@lip6.fr Location : Paris, France Time : February 2008 ----------------------------------------------------------------------------- Disclaimer: If you find a bug, please send a bug report to jean-loup.guillaume@lip6.fr including if necessary the input file and the parameters that caused the bug. You can also send me any comment or suggestion about the program. Note that the program is expecting a friendly use and therefore does not make much verifications about the arguments. ----------------------------------------------------------------------------- This package offers a set of functions to use in order to compute communities on graphs weighted or unweighted. A typical sequence of actions is: 1. Conversion from a text format (each line contains a couple "src dest") ./convert -i graph.txt -o graph.bin This program can also be used to convert weighted graphs (each line contain a triple "src dest w") using -w option: ./convert -i graph.txt -o graph.bin -w graph.weights Finally, nodes can be renumbered from 0 to nb_nodes - 1 using -r option (less space wasted in some cases): ./convert -i graph.txt -o graph.bin -r 2. Computes communities and displays hierarchical tree: ./community graph.bin -l -1 -v > graph.tree To ensure a faster computation (with a loss of quality), one can use the -q option to specify that the program must stop if the increase of modularity is below epsilon for a given iteration or pass: ./community graph.bin -l -1 -q 0.0001 > graph.tree The program can deal with weighted networks using -w option: ./community graph.bin -l -1 -w graph.weights > graph.tree In this specific case, the convertion step must also use the -w option. The program can also start with any given partition using -p option ./community graph.bin -p graph.part -v 3. Displays information on the tree structure (number of hierarchical levels and nodes per level): ./hierarchy graph.tree Displays the belonging of nodes to communities for a given level of the tree: ./hierarchy graph.tree -l 2 > graph_node2comm_level2 ----------------------------------------------------------------------------- Known bugs or restrictions: - the number of nodes is stored on 4 bytes and the number of links on 8 bytes. ----------------------------------------------------------------------------- Version history: The following modifications have been made from version 0.1: - weights are now stored using floats (integer in V0.1) - degrees are stored on 8 bytes allowing large graphs to be decomposed - weights are stored in a separate file, which allows disk usage reduction if different weights are to be used on the same topology - any given partition can be used as a seed for the algorithm rather than just the trivial partition where each node belongs to its own community - initial network can contain loops is network is considered weighted - graph is not renumbered by default in the convert program - an optional verbose mode has been added and the program is silent by default - some portions of the code have been c++ improved (type * -> vector<type>) These modifications imply that any binary graph file created with the previous version of the code is not comptabile with this version. You must therefore regenerate all the binary files. Version 0.1: - initial community detection algorithm