Web对于网络中的每一个节点，在初始阶段，Label Propagation算法对于每一个节点都会初始化一个唯一的一个标签。 每一次迭代都会根据与自己相连的节点所属的标签改变自己的标签，更改的原则是选择与其相连的节点中所属标签最多的社区标签为自己的社区标签，这就是标签传播的含义了。 随着社区标签不断传播。 最终，连接紧密的节点将有共同的标签。 … WebWhether to consider edge directions for the label propagation, and if so, which direction the labels should propagate. Ignored for undirected graphs. IGRAPH_ALL means to ignore …

Local memory boosts label propagation for community detection

http://scikit.ml/api/skmultilearn.cluster.igraph.html WebThe only label propagation implementation I managed to find in R is label.propagation.community() from the igraph library. However, as the name suggests, it is mostly used to find communities, not for classifying unlabeled vertices. outsmart in malay

cluster_label_prop function - RDocumentation

Web我在Windows下的python版本是3.5，写这个需要装两个包，igraph和cairo，igraph用来读图和社团检测，cairo用来进行绘图，比较不凑巧的是这两个包在Windows下都不能正常pip，需要找别人编译好的第三方包，（官方推荐），找到对应版本的包下载下来然后pip。 Web6 sep. 2014 · Label Propagation（简称LPA） 算法的优点 是一个简单容易理解的算法，主要用于community detection，它不用我们预先给定community的数量，可以控制迭代的次数去将图中节点去分类。 LPA的另一个极大的优点在于scalability，非常适合用来处理large graph，因为算法的实质是 vertex-centric model，所以其实是可以在Map-Reduce上实现 … WebTriangle counting is a community detection graph algorithm that is used to determine the number of triangles passing through each node in the graph. A triangle is a set of three nodes, where each node has a relationship to all other nodes. The triangle count of a node is useful as a features for classifying a given website as spam, or non-spam ... outsmarting yourself