mplexviz-ngraph

    1.1.4 • Public • Published

    mplexviz-ngraph

    NPM version

    A visualisation module for multilayer networks as modelled by mplexnet using ngraph.three.

    Getting Started

    This is a visualisation module for multilayer network data.

    Beware:

    This project is still under active development and should only be used experimentally for now. Expect a more mature version in the next few months. If you have suggestions and feature requests, feel free to contact me.

    You can install the module with: npm install mplexviz-ngraph

    To test it, try something like this:

    var Viz = require('mplexviz-ngraph');
     
    var data = 'source,l1,l2,target,l1,l2\n1,A,X,2,A,X\n1,A,X,1,B,X\n1,A,X,4,B,X\n1,B,X,1,B,Y\n1,B,X,3,B,X\n\
               1,B,X,4,B,X\n3,B,X,4,B,X\n4,B,X,3,A,Y\n3,A,Y,3,A,X\n3,A,Y,2,A,Y';
               
    var instance = new Viz({
        el: rootDiv,
        data: data
    });
     
    instance.render();
     

    Specifying options

    You can specify some options for the mplexnet module. It is mostly setting options for the data input.

     
    /*
     * These are the default options for a network
     *
     *   Log levels:
     *       1: Errors and important info
     *       2: More info
     *       3: Detail debug messages incl. data
     */
    var options = {
        inputFiles: 'csv',
        inputFileDelimiter: ',',
        sourceFieldLabel: 'source',
        targetFieldLabel: 'target',
        loglevel: 0
    };
     
    var instance = new Viz({
        el: rootDiv,
        data: data,
        options: options
    });
     
    instance.render();
     

    Input format

    There will be more detailed description of the input format soon. This maybe subject to change

    For now, there are two possible ways to pass data:

    • A single csv data object of edges between node-layer objects (recommended)
    source,l1,l2,target,l1,l2
    1,A,X,2,A,X
    1,A,X,1,B,X
    1,A,X,4,B,X
    1,B,X,1,B,Y
    1,B,X,3,B,X
    1,B,X,4,B,X
    3,B,X,4,B,X
    4,B,X,3,A,Y
    3,A,Y,3,A,X
    3,A,Y,2,A,Y
    
    • Three separate files/objects
      • A list of aspects
      Time
      
      • A list of node-layer objects with a unique id
      id,Time,name
      1,now,1
      2,now,2
      3,now,3
      4,now,4
      5,then,1
      6,then,2
      7,then,3
      8,then,4
      
      • A list of edges between these ids
      source, target
         1, 4
         2, 3
         2, 4
         1, 5
         2, 6
         3, 8
         4, 8
         5, 6
         5, 7
         6, 7
      

    Contributing

    I have a set of features I want to complete for now. When done, all contributions will be welcome.

    Support

    If you have any problem or suggestion please open an issue here.

    License

    The MIT License

    Copyright (c) 2015, Dennis Schwartz

    Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

    Install

    npm i mplexviz-ngraph

    DownloadsWeekly Downloads

    35

    Version

    1.1.4

    License

    MIT

    Unpacked Size

    2.27 MB

    Total Files

    22

    Last publish

    Collaborators

    • dennisschwartz