Predicting potential links by using strengthened projections in evolving bipartite networks

DOI10.1016/J.PHYSA.2019.04.011OpenAlexW2928764936WikidataQ128117981 ScholiaQ128117981MaRDI QIDQ2159661

Serpil Aslan, Mehmet Kaya, Buket Kaya

Publication date: 2 August 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2019.04.011

zbMATH Keywords

link predictionbipartite networksevolving networksstrengthened projections

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (1)

A novel evolving model of urban rail transit networks based on the local-world theory

Cites Work

• Sampling-based algorithm for link prediction in temporal networks
• Projection-based link prediction in a bipartite network
• From the Cover: The structure of scientific collaboration networks
• Text Mining
• Community structure in social and biological networks
• Unnamed Item

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