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Link Prediction and Graph Structure Estimation for Community Detection

Author

Listed:
  • Dongming Chen

    (Software College, Northeastern University, Shenyang 110819, China)

  • Mingshuo Nie

    (Software College, Northeastern University, Shenyang 110819, China)

  • Fei Xie

    (Software College, Northeastern University, Shenyang 110819, China)

  • Dongqi Wang

    (Software College, Northeastern University, Shenyang 110819, China)

  • Huilin Chen

    (College of Engineering, Computing and Cybernetics, Australian National University, Canberra, ACT 2601, Australia)

Abstract

In real-world scenarios, obtaining the relationships between nodes is often challenging, resulting in incomplete network topology. This limitation significantly reduces the applicability of community detection methods, particularly neighborhood aggregation-based approaches, on structurally incomplete networks. Therefore, in this situation, it is crucial to obtain meaningful community information from the limited network structure. To address this challenge, the LPGSE algorithm was designed and implemented, which includes four parts: link prediction, structure observation, network estimation, and community partitioning. LPGSE demonstrated its performance in community detection in structurally incomplete networks with 10% missing edges on multiple datasets. Compared with traditional community detection algorithms, LPGSE achieved improvements in NMI and ARI metrics of 1.5781% to 29.0780% and 0.4332% to 31.9820%, respectively. Compared with similar community detection algorithms for structurally incomplete networks, LPGSE also outperformed other algorithms on all datasets. In addition, different edge-missing ratio settings were also attempted, and the performance of different algorithms in these situations was compared and analyzed. The results showed that the algorithm can still maintain high accuracy and stability in community detection across different edge-missing ratios.

Suggested Citation

  • Dongming Chen & Mingshuo Nie & Fei Xie & Dongqi Wang & Huilin Chen, 2024. "Link Prediction and Graph Structure Estimation for Community Detection," Mathematics, MDPI, vol. 12(8), pages 1-16, April.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1269-:d:1380481
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    References listed on IDEAS

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    1. Xin, Xin & Wang, Chaokun & Ying, Xiang & Wang, Boyang, 2017. "Deep community detection in topologically incomplete networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 342-352.
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