Link Prediction in Co-Authorship Network Under Fuzziness and Application in Biomedical Analysis
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Tsinghua University Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
We aim to predict links in fuzzy social networks, where the existing methods based on common neighbors of two nodes are not effective. These methods are local measures that only work when the shortest distance between two nodes is less than or equal to two. Our method can handle cases where the shortest distance is between three and five. We define the concepts of link strength and path strength in a network and propose an algorithm for predicting links. We illustrate our method with a numerical example in a co-authorship network and discuss application areas in biomedical. © 2009 Tsinghua University Press.
Açıklama
Anahtar Kelimeler
Link Prediction, Path, Social Network
Kaynak
Fuzzy Information and Engineering
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
16
Sayı
2
Künye
Das, K., Maity, A., De, K., Mondal, S., Samanta, S., & Allahviranloo, T. (2024). Link Prediction in Co-Authorship Network Under Fuzziness and Application in Biomedical Analysis. Fuzzy Information and Engineering, 16(2), 155-174.
