linkurious.js实现Louvain社区发现算法

linkurious.js实现Louvain社区发现算法 - sigma.statistics.louvain

原文：linkurious.js/plugins/sigma.statistics.louvain at linkurious-version · Linkurious/linkurious.js

阅读：

• Louvain社区发现算法 - AllanSpark - 博客园

• 模块度与Louvain社区发现算法 - CodeMeals - 博客园

• community API — Community detection for NetworkX 2 documentation

插件jLouvain由Corneliu Sugar开发。Sébastien Heymann把它移植到Linkurious。

Contact: [e-mail]

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代码说明

完整版的代码在这里：

请在这个文件夹下包含所有js文件，然后按如下方式执行。

var louvainInstance = sigma.plugins.louvain(sigmaInstance.graph);

你可以提供一个中介社区划分分配(intermediary community partition assignement)：

// Object with ids of nodes as properties and community number assigned as value.var partitions_init = {'n1':0, 'n2':0, 'n3': 1};var louvainInstance = sigma.plugins.louvain(sigmaInstance.graph, {  partitions: partitions_init});

获取和设置社区

Communities are denoted by numerical identifiers, which are assigned to the nodes at the _louvain key unless an optional setter function is passed:
社区由数字标识，在_louvain关键字分配给节点，除非选择setter函数传递：

var louvainInstance = sigma.plugins.louvain(sigmaInstance.graph);// get community of node 'n0': var c = sigmaInstance.graph.nodes('n0')._louvain;// run with a setter argument:var louvainInstance = sigma.plugins.louvain(sigmaInstance.graph, {  setter: function(communityId) { this.my_community = communityId; }});// get community of node 'n0': var c = sigmaInstance.graph.nodes('n0').my_community;

执行算法

执行如下代码，调用sigma.plugins.louvain()：

louvainInstance.run();

可以提供一个社区划分分配的媒介(intermediary)：

// Object with ids of nodes as properties and community number assigned as value.var partitions_init = {'n1':0, 'n2':0, 'n3': 1};louvainInstance.run({ partitions: partitions_init });

计算层次(levels of hierarchy)

The algorithm generates partitions of the graph (i.e. “communities”) at multiple levels, with partitions at lower levels being included in partitions of the upper levels to form a dendogram. The higher level in the hierarchy the fewer partitions.
该算法生成的图形分区（即“社区”的多层次分区），在较低的水平，包括在上层隔板形成一个树状图(dendogram)。在层次结构中的更高层次的较少的分区

代码如下:

var nbLevels = louvainInstance.countLevels();

分区

可以提取在层次结构中指定级别的分区：

// Get partitions at the highest level:var partitions = louvainInstance.getPartitions();// equivalent to louvainInstance.getPartitions(louvainInstance.countLevels())// Get partitions at the lowest level:var partitions = louvainInstance.getPartitions({level: 1});

计算分区的数量

var partitions = louvainInstance.getPartitions();var nbPartitions = louvainInstance.countPartitions(partitions);

节点的社区分配

最高级别的社区将自动分配给节点。可以指定一个不同的级别的社区，代码如下：

var nbLevels = louvainInstance.setResults({  level: 1});// using a specific setter function:var nbLevels = louvainInstance.setResults({  level: 1  setter: function(communityId) { this.communityLevel1 = communityId; }});// get highest level community of node 'n0': var c = sigmaInstance.graph.nodes('n0').my_community;// get level 1 community of node 'n0': var c = sigmaInstance.graph.nodes('n0').communityLevel1;

小贴士: 怎样给节点添加颜色

• jacomyal/sigma.js: A JavaScript library dedicated to graph drawing

下面的示例演示如何通过社区对颜色节点进行着色，假设有一组颜色：

var colors = ["#D6C1B0", ..., "#9DDD5A"];// 基于社区的分组进行着色sigmaInstance.graph.nodes().forEach(function(node) {  node.color = colors[node.my_community];});// 刷新sigma渲染(linkurious.js基于sigma.js开发)sigmaInstance.refresh({skipIndexation: true});

注意

该算法通过寻找关键边的权重考虑关系的强度。