Overlapped community division method based on K-core iteration factor and community membership degree
An iterative factor and overlapping community technology, applied in the field of overlapping community division, can solve problems such as high time complexity, unstable community division results, and low accuracy rate, so as to reduce time, improve stability and accuracy, and improve quality and the effect on accuracy
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[0053] The present invention will be further described in detail below in conjunction with examples and specific implementation methods. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.
[0054] figure 1 According to an exemplary embodiment of the present invention, an overlapping community division method based on K-kernel iteration factor and community membership, specifically includes the following steps:
[0055] Step S1: Read the network dataset, generate a network structure diagram and obtain the adjacency information table of each node in the network.
[0056] In this embodiment, the overlapping community division data set is first read from the network, and the network structure graph G and the adjacency information table N of each node in the network s...
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