A network community graph generation method, device, computer equipment and storage medium
By introducing the first and second reference thresholds in the network community graph generation, determining the community attributes of the nodes and building a network subgraph, the problems of existing algorithms being limited in resolution and unstable results in large-scale networks are solved, and more efficient and accurate network community graph generation is achieved.
Patent Information
- Application Number
- CN202110021879.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-01-07
- Publication Date
- 2025-05-09
- Estimated Expiration
- 2041-01-07
AI Technical Summary
Existing community discovery algorithms, such as the Louvain algorithm and the LPA algorithm, have the problem of resolution limitation when dealing with large-scale networks, and cannot identify communities with small nodes, and randomness may lead to unstable results.
By obtaining the correlation parameters between the pending network map and its nodes, using the first reference threshold and the second reference threshold, the community attributes of the nodes are determined and the network sub-graph is constructed, thereby generating a more accurate and stable network community map.
The efficiency and accuracy of network community graph generation is improved, the problem of resolution limitation is reduced, and the instability of the result is avoided by introducing a threshold mechanism.
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Abstract
Citation Information
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