Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks
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DOI: 10.1089/big.2021.0254
Abstract: Complex networks are representations of real-world systems that can be better modeled as multiplex networks, where the same nodes develop multi-type connections. One of the important concerns about these networks is link prediction, which has… read more here.
Keywords: link prediction; multiplex networks; centrality measures; common neighbors ... See more keywords
Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3150427
Abstract: Random walk is widely applied to sample large-scale graphs due to its simplicity of implementation and solid theoretical foundations of bias analysis. However, its computational efficiency is heavily limited by the slow convergence rate (a.k.a.… read more here.
Keywords: common neighbors; walk sampling; common neighbor; random walk ... See more keywords