Temporal Triadic–Homophily Link Prediction in Fuzzy Citation Networks

Authors

  • Sanchita Guchhait * Department of Computer and Information Science, Raiganj University, Raiganj, India.

https://doi.org/10.48314/tsc.v1i4.76

Abstract

Triadic closure and topical homophily provide complementary evidence for new links in citation and collaboration networks. A temporal fuzzy link score is proposed to combine them without converting either source into a crisp preliminary decision. Time-decayed common-neighbor evidence, cosine content homophily, and endpoint activity are aggregated through a weighted complement-geometric operator. The score is bounded, monotone, reducible to each single component, and stable under bounded feature errors. A closed-form condition for retaining a pairwise ranking is obtained. The original chapter results on Cora and CiteSeer are re-examined: the reported Triadic Homophily Clustering AUC values are 0.70 and 0.69, while fixed-threshold precision values are 0.97 and 0.95. These figures are retained as source baselines rather than being relabeled as results of the new temporal model. A four-candidate calculation shows that the highest raw triadic candidate need not rank first once homophily, recency, and uncertainty are considered. The method supports time-respecting validation, validation-selected thresholds, and component-wise interpretation of each prediction.

Keywords:

Linkprediction, Citation network, Triadic closure, Homophily, Fuzzy evidence, Temporal decay

References

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Published

2025-12-15

Issue

Vol. 1 No. 4 (2025): Transactions on Soft Computing (TSC)

Section

Articles

License

Copyright (c) 2026 Transactions on Soft Computing

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Guchhait, S. (2025). Temporal Triadic–Homophily Link Prediction in Fuzzy Citation Networks. Transactions on Soft Computing , 1(4), 257-264. https://doi.org/10.48314/tsc.v1i4.76

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