Applications of link prediction in social networks: A review
Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …
in a given network. The methods are essential in social networks to infer social interactions …
Taxonomy of link prediction for social network analysis: a review
Link prediction is a technique to forecast future new or missing relationships between
entities based on the current network information. Graph theory and network science are …
entities based on the current network information. Graph theory and network science are …
Link prediction by adversarial nonnegative matrix factorization
Networks are now more crucial than ever for modeling complex systems with interconnected
components. Many methods have been developed to infer unobserved links or predict latent …
components. Many methods have been developed to infer unobserved links or predict latent …
Link prediction by deep non-negative matrix factorization
G Chen, H Wang, Y Fang, L Jiang - Expert Systems with Applications, 2022 - Elsevier
Link prediction aims to predict missing links or eliminate spurious links and new links in
future network by known network structure information. Most existing link prediction methods …
future network by known network structure information. Most existing link prediction methods …
A novel link prediction algorithm based on inductive matrix completion
Link prediction refers to predicting the connection probability between two nodes in terms of
existing observable network information, such as network structural topology and node …
existing observable network information, such as network structural topology and node …
Tracking the dynamics of co-word networks for emerging topic identification
L Huang, X Chen, X Ni, J Liu, X Cao, C Wang - … Forecasting and Social …, 2021 - Elsevier
Identifying emerging topics has been an essential study for nations to develop strategic
priorities, for enterprises to create business strategies, and for institutions to define research …
priorities, for enterprises to create business strategies, and for institutions to define research …
An advanced deep generative framework for temporal link prediction in dynamic networks
Temporal link prediction in dynamic networks has attracted increasing attention recently due
to its valuable real-world applications. The primary challenge of temporal link prediction is to …
to its valuable real-world applications. The primary challenge of temporal link prediction is to …
Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information
G Chen, C Xu, J Wang, J Feng, J Feng - Expert Systems with Applications, 2020 - Elsevier
The aim of link prediction is to predict missing links in current networks or new links in future
networks. Almost all the existing directed link prediction algorithms only take into account the …
networks. Almost all the existing directed link prediction algorithms only take into account the …
Link prediction and its optimization based on low-rank representation of network structures
Currently, among the link prediction researches based on low-rank representation, almost
none of literature has considered how to select an appropriate base-matrix and the impact of …
none of literature has considered how to select an appropriate base-matrix and the impact of …
Robust non-negative matrix factorization for link prediction in complex networks using manifold regularization and sparse learning
G Chen, C Xu, J Wang, J Feng, J Feng - Physica A: Statistical Mechanics …, 2020 - Elsevier
The aim of link prediction is to disclose the underlying evolution mechanism of networks,
which could be utilized to predict missing links or eliminate spurious links. However, real …
which could be utilized to predict missing links or eliminate spurious links. However, real …