IEEE

Influence Maximization Under Network Data Distortion: A Max-Min Ant System with Multi-Graph Random Walk Approach

Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...
The Conversation

Far from random, China’s global port network is clustering near the world’s riskiest trade routes

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
New Haven Register

Far from random, China’s global port network is clustering near the world’s riskiest trade routes

(THE CONVERSATION) In late February 2026, the Panamanian government took control of two ports in the Panama Canal that had been operated by a Hong Kong conglomerate for two decades. The move is the ...
IEEE

A Hybrid Graph Neural Network Model for Predicting Cyber Attacks From Heterogeneous and Dynamic Network Data

Abstract: With valuable data constantly under attack, reactive security measures are no longer sufficient. Predicting cyber threats before they emerge is crucial. Cyberattacks do not occur randomly; ...