什么是吸引人的子图？

Question

什么是图的吸引子图？
Networkx has an algorithm for this.但我无法理解这是因为：

>>> g.edges()
[(0, 1), (1, 2), (2, 3), (2, 5), (3, 4)]
>>> for l in nx.algorithms.components.attracting.attracting_component_subgraphs(g):
...     print l.edges()
...     print l.nodes()
... 
[]
[4]
[]
[5]

Answer 1

吸引组件的定义在nx.algorithms.components.attracting_components的文档中提供。在

An attracting component in a directed graph is a strongly connected component with the property that a random walker on the graph will never leave the component, once it enters the component.

The nodes in attracting components can also be thought of as recurrent nodes. If a random walker enters the attractor containing the node, then the node will be visited infinitely often.

http://networkx.lanl.gov/reference/generated/networkx.algorithms.components.attracting.attracting_components.html#networkx.algorithms.components.attracting.attracting_components

因此，一个吸引的组件子图将是一个节点列表，这些节点诱导满足此定义的子图。在