A Calculation Method and Device of Non-overlapping Community Set Quality Index
A quality measurement and calculation method technology, applied in the computer field, can solve problems such as the inapplicability of large-scale community collection quality measurement indicators calculation, etc., to achieve the effect of rich measurement indicators and accelerated computing speed
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no. 1 example
[0071] There are many existing calculation methods for calculating the quality metrics of non-overlapping community sets, including igraph (complex network analysis library), scikit-learn (a python-based machine learning module), MPI-2014 (an algorithm based on MPI standards), etc. But these algorithms can only calculate part of the index, based on this, the present invention proposes a kind of calculation method MPI-PNCMC (MPI-Parallel Non-overlapping Community Metric Computation) of non-overlapping community set quality index newly, based on MPI standard parallel Community Metric Calculation), the algorithm is an algorithm of a parallel distributed framework. Compared with the existing algorithms, the calculation method of the present invention is faster and can calculate more abundant indicators.
[0072] The flow chart of the calculation method of the non-overlapping community set quality metric index provided by the first embodiment of the present invention can be found in...
no. 2 example
[0105] The non-overlapping community set quality metric calculation device provided by the present invention can be found in image 3 As shown, it includes a processor 301, a memory 302 and a communication bus 303, wherein:
[0106] The communication bus 303 is used to realize connection and communication between the processor 301 and the memory 302;
[0107] The processor 301 is configured to execute a non-overlapping community set quality metric calculation program stored in the memory 302, and the non-overlapping community set quality metric calculation program includes:
[0108] Obtaining module, used to obtain community set X={X 1 ,X 2 ,...X K}, Y={Y 1 ,Y 2 ,...Y K'}, and the vertex set V={v 1 ,v 2 ,...v n}; the K, K', and n respectively represent the number of elements in the community set X, Y and the vertex set V;
[0109] The processing module is used for according to the vertex set V={v 1 ,v 2 ,...v n} in each vertex v i , respectively traversing the co...
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