====== mixneto ======

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This program implements **on-line methods for large undirected networks**.

===== Running ermgo =====

mixneto -q <int> -Q <int>  <filename.spm>  [options]

Main options are:

    * - - classif : Use the classification algorithm
    * - - stochastic : Use the stochastic classification algorithm
    * - - improve : Performs improvements of unsatisfying models


For a complete options list:

mixneto -h\\
man mixneto


===== Post-treating the results ===== 
Mixnet provides two Perl programs:

    * **mixnet-cl** c From a MixNet .model file, displays the class of each nodel and creates file for Cytoscape
    * **mixnet-sim** From a MixNet .model file, simulate a network


===== Reading the pdf documentation===== 

    * {{:logiciels:mixnet:mixneto-doc.pdf|Implemented algorithms}}


===== References===== 
**Hugo Zanghi, Christophe Ambroise and Vincent Miele**, Fast online graph clustering via Erdös-Rényi mixture,  Pattern Recognition 41 (2008) 3592-3599 [on line Preprint SSB n°8, 2007: http://genome.jouy.inra.fr/ssb/preprint/]


===== Project Team ===== 

    * Statisticians:  Christophe Ambroise, Franck Picard, Hugo Zanghi.
    * Developers: Mark Hoebeke, Vincent Miele.



[[logiciels:mixnet|Back to MixNet Homepage]].