LaNet-vi :: LArge NEtwork VIsualization tool

LaNet-vi provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core decomposition. A complete description of the algorithm and the visualization layout can be found in our article: k-core decomposition: a tool for the visualization of large scale networks.
You can also find a guide to the interpretation of the images: .html version, or .pdf file.

NEW!: open source version of LaNet-vi

Please, feel free to use, copy, distribute and display the generated pictures, providing the appropriate credit to the LaNet-vi software and its authors. The images are licensed under a Creative Commons License.


Authors: Ignacio Alvarez-Hamelin Luca Dall'Asta Alain Barrat Alessandro Vespignani Useful links Here, you can find other visualization tools: ¤ Cichlid ¤ Otter ¤ Pajek ¤ Plankton ¤ Visone --Severals tools at: ¤ SourceForge.net ¤ visualcomplexity NEW!: Complex System SCILAB Toolbox Related works ¤ Bader and Hogue, An automated method for finding molecular complexes in large protein interaction networks. ¤ Baur, Brandes, Gaertler and Wagner, Drawing the AS Graph in 2.5 Dimensions. ¤ Wuchty and Almaas, Peeling the Yeast protein network. Books ¤Social Network Analysis: Methods and Applications, by Stanley Wasserman and Katherine Faust ¤ Evolution and Structure of the Internet: A Statistical Physics Approach, by R. Pastor-Satorras and Alessandro Vespignani	Large Network visualization tool LaNet-vi provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core decomposition. A complete description of the algorithm and the visualization layout can be found in our article: k-core decomposition: a tool for the visualization of large scale networks. You can also find a guide to the interpretation of the images: .html version, or .pdf file. NEW!: open source version of LaNet-vi Using the LaNet-vi tool You up-load your network, and you will receive by e-mail* a PNG image of the layout.* Prepare your network file You should specify each edge of the graph, one by line, as: "i ¬j", where i and j are node numbers, and the symbol ¬ is a space or tab. The graph is considered undirected, that is lines "2 4" and "4 2" are equivalents. Finally, you should compress it using gzip. Fill the following form First name: Last name: Field of activity: Name of the institution: e-mail address: (the image will be sent to this address) If you want to upload your network at the Image Gallery, please select "yes" at next check-box. In a positive case, please identify your network file with your personal name and contact one of the authors for a complete description of these data set. Image characteristics Select the type of image you prefer Select the amount of edges that will be shown, e.g. 1 for all links and 0.1 for 10%. Type 0 if you want the algorithm to select a value automatically. Select the resolution of the image. Please take into account the maximal size allowed by your e-mail inbox (the displayed size are computed for 10^5 vertices and an automatic number of displayed edges). File to upload (compressed with gzip) You will receive by e-mail a PNG image of the layout Please, feel free to use, copy, distribute and display the generated pictures, providing the appropriate credit to the LaNet-vi software and its authors. The images are licensed under a Creative Commons License. LaNet-vi: 1053 represented networks	Image Gallery *Real networks:* World-Wide Airports Autonomous_System Autonomous_System+ Autonomous_System_DIMES Scientific collaborations Internet_routers Internet_routers_CAIDA World_Wide_Web *Computer generated networks:* Barabasi_Albert Barabasi_Albert_RND Extended_FKP Random_graph The LaNet-vi project is a collaboration between Indiana University, Université Paris-Sud and CNRS. We acknowledge the support of the European Projects COSIN and DELIS.