The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …

Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …

The most basic and significant issue in complex network analysis is community detection,
which is a branch of machine learning. Most current community detection approaches, only …

Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …

With the expansion of the Internet and attractive social media infrastructures, people prefer
to follow the news through these media. Despite the many advantages of these media in the …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

Cyber-attacks on the numerous parts of today's fast developing IoT are only going to
increase in frequency and severity. A reliable method for detecting malicious attacks such as …

Complex networks are representations of real-world systems that can be better modeled as
multiplex networks, where the same nodes develop multi-type connections. One of the …

Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …