A novel similarity measure for the link prediction in unipartite and bipartite networks

Purushottam Kumar; Dolly Sharma

doi:10.1007/s13278-021-00745-z

ScienceGate Book Chapters

JOURNAL ARTICLE

A novel similarity measure for the link prediction in unipartite and bipartite networks

Purushottam Kumar Dolly Sharma

Year: 2021 Journal: Social Network Analysis and Mining Vol: 11 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s13278-021-00745-z

Get Full-Text PDF Get Analytical Report

Keywords:

Bipartite graph Computer science Similarity (geometry) Link (geometry) Node (physics) Measure (data warehouse) Complex network Eigenvalues and eigenvectors Theoretical computer science Baseline (sea) Algorithm Data mining Artificial intelligence Graph

Metrics

Cited By

0.41

FWCI (Field Weighted Citation Impact)

Refs

0.59

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

A novel similarity measure for the link prediction in unipartite and bipartite networks

Metrics

Citation History

Topics

Related Documents

A novel similarity measure of link prediction in bipartite social networks based on neighborhood structure

A novel similarity measure for missing link prediction in social networks

Link Prediction in Bipartite Networks

Similarity propagation based link predictionin bipartite networks

Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks