Longest circle rapid detection method and system based on ant colony algorithm, and storage medium
An ant colony algorithm and detection method technology, applied in the field of complex network analysis, can solve problems such as lack of universality and difficulty in approximate detection methods, and achieve the effect of avoiding premature convergence and accelerating convergence.
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Embodiment 1
[0091] This embodiment is basically as attached figure 1 Shown: The longest circle fast detection method based on ant colony algorithm, including the following content:
[0092] Preprocessing step: preprocessing the undirected graph G, segmenting the preprocessed G, and obtaining a connected component set CC={G 1 ,G 2 ,...,G k};Specifically:
[0093] S101, circularly delete the leaf nodes in G; where the leaf nodes refer to the vertices with a degree of 1 in G, that is, the vertices with only one edge; therefore, the leaf nodes must not exist in the longest circle, so the leaf nodes are prune;
[0094] S102. Query the cut points in G, and divide G after pruning the leaf nodes according to the cut points, and divide G into CC={G 1 ,G 2 ,...,G k}. In this embodiment, the query is performed by using the existing query cut point method. The cut point of the graph is the vertex that divides the graph into two or more connected components, so any circle of the graph can only...
Embodiment 2
[0138] This embodiment is basically the same as the above-mentioned embodiment, the difference is that it also includes a collection step: collecting node information and relationship information between nodes; generating G according to the node information and relationship information, and performing a preprocessing step on G and cycle detection steps, as long as the problem in any field can be converted into longest cycle detection, and its information can be converted into corresponding node information and relationship information, this method can be used to quickly detect the longest cycle, making the application of this detection method The scope is wider, for example: the relationship identification between platform users, the user is the node information, and the attention information between users is the relationship information, then the user relationship network diagram is generated, and the longest circle detection can be performed on the user relationship network di...
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