Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Recently, the problem of user identification across multiple social networks (UIAMSNs) has
attracted considerable attention since it is a prerequisite for many downstream tasks and …

Abstract Link Prediction Problem (LPP) is defined as the likelihood of a future connection
between two nodes on a network that does not currently have a link between them. Usually …

The pervasiveness of offensive language on social networks has caused adverse effects on
society, such as abusive behavior online. It is urgent to detect offensive language and curb …

In the cloud computing domain, significant strides have been made in performance
prediction for cloud workflows, yet link prediction for cloud workflows remains largely …

Multiple kinds of connections (links) may be encoded into distinct layers in multiplex
networks, with each layer representing a particular type of link. Even if the type of linkages in …

The network alignment problem refers to how to find the node correspondence across
different networks in multiplex networks. This study has significant implications in various …

The pervasiveness of offensive language on the social network has caused adverse effects
on society, such as abusive behavior online. It is urgent to detect offensive language and …

Given a target layer in a multiplex network, the objective of link prediction is to predict future
relationships by utilizing information from all layers. Generally, the proposed techniques …

Link prediction is significant in the field of network analysis which helps to determine the
future or hidden connections between the entities in a network. Traditional link prediction …