In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

One of the fundamental tasks in complex networks is detecting critical nodes whose removal
significantly disrupts network connectivity. Identifying critical nodes can help analyze the …

Massive hydropower dams in the Mekong river basin (MRB) have triggered substantial
debate and international attention due to its utmost importance on maintaining ecology and …

River drainage networks are important landscape features that have been studied for
several decades from a range of geomorphological and hydrological perspectives …

This study considers a class of critical node detection problems that involves minimization of
a distance‐based connectivity measure of a given unweighted graph via the removal of a …

The distance-based critical node problem involves identifying a subset of nodes in a graph
such that the removal of these nodes leads to a residual graph with the minimum distance …

Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks,
with simulation attacks being the prevailing evaluation method. Simulation attacks are often …

Critical node problems (CNPs) involve finding a set of critical nodes from a graph whose
removal results in optimizing a predefined measure over the residual graph. As useful …

We design a flexible Evolutionary Framework for solving several classes of the Critical Node
Problem (CNP), ie the maximal fragmentation of a graph through node deletion, given a …

We study sequential interdiction when the interdictor has incomplete initial information about
the network and the evader has complete knowledge of the network, including its structure …