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98 lines
3.2 KiB
Text
98 lines
3.2 KiB
Text
[License: LGPL v3] [build]
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Multi-criteria community detection library
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This library makes the Louvain community detection system
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significantly easier to use. Example code:
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#include "louvain_communities/louvain_communities.h" #include
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<iostream>
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int main(int /*argc*/, char** /*argv*/) { LouvainC::Communities
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graph;
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//First community graph.add_edge(1, 2, 2L);
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graph.add_edge(1, 3, 2L); graph.add_edge(1, 4, 2L);
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graph.add_edge(2, 3, 2L); graph.add_edge(2, 4, 2L);
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graph.add_edge(3, 4, 2L);
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//Second community graph.add_edge(4, 5, 2L);
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graph.add_edge(4, 6, 2L); graph.add_edge(4, 7, 2L);
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graph.add_edge(5, 6, 2L); graph.add_edge(5, 7, 2L);
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graph.add_edge(6, 7, 2L);
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//Weak connection between 1st and 2nd communities
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graph.add_edge(1, 4, 0.1L);
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//Calculate communities gplain.calculate(true);
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//Get community mapping auto r = gplain.get_mapping();
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for(auto& vert_to_comm: r) { std::cout << "Vertext " <<
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vert_to_comm.first << " is in community " << vert_to_comm.second <<
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std::endl; } }
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How to build
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To build:
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git clone https://github.com/meelgroup/louvain-community cd
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louvain-community mkdir build && cd build cmake .. make -j4 sudo
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make install
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In case you are going to use the system in another cmake based
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project, you don’t even need to install. In these cases, you can
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look for the library in your CMakeLists.txt file via:
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find_package(louvain_communities CONFIG) if
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(louvain_communities_FOUND) message(STATUS "Found Louvain
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Communities library") message(STATUS "Louvain Communities dynamic
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lib: ${LOUVAIN_COMMUNITIES_LIBRARIES}") message(STATUS "Louvain
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Communities include dirs: ${LOUVAIN_COMMUNITIES_INCLUDE_DIRS}")
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else() message(FATAL_ERROR "Cannot find Louvain Communities
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libraries. Please install it! Exiting.") endif()
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To compile a static library simply do:
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git clone https://github.com/meelgroup/louvain-community cd
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louvain-community mkdir build && cd build cmake -DSTATICCOMPILE=ON
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.. make -j4 sudo make install
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Testing
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To test:
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pip install python-louvain
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git clone https://github.com/jlguillaume/louvain cd louvain make
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-j4
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git clone https://github.com/meelgroup/louvain-community cd
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louvain-community mkdir build && cd build ln -s ../scritps/* . ln
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-s ../../louvain/louvain . ./mytest.py 50-10-9-q.cnf.gz.no_w.cnf
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awk '{print "gplain.add_edge(" $1 ", " $2 ", " $3 "L);"}' graph.txt
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> ../src/mygraph.cpp cmake -DENABLE_TESTING=ON .. make -j4
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> ./test.sh 50-10-9-q.cnf.gz.no_w.cnf
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To check how well the communities fit a graph generated via VIG
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(“Variable Incidence Graph”) graph-generation from a DIMACS CNF and
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a layout engine using the spring method:
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pip install python-louvain git clone
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https://github.com/meelgroup/louvain-community cd louvain-community
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mkdir build && cd build ln -s ../scritps/* . ./mytest.py
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50-10-9-q.cnf.gz.no_w.cnf --draw
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References
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Based on Community Detection “Louvain”, version 0.3, from
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SourceForge
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Based on the article “Fast unfolding of community hierarchies in
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large networks” Copyright (C) 2008 V. Blondel, J.-L. Guillaume, R.
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Lambiotte, E. Lefebvre
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And based on the article Copyright (C) 2013 R. Campigotto, P. Conde
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Céspedes, J.-L. Guillaume
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Authors: E. Lefebvre, adapted by J.-L. Guillaume and R. Campigotto,
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Mate Soos
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