Node Deletion and Edge Deletion Problems in Networks

Abstract

This project plans to develop efficient algorithms to study the node and edge deletion problems on networks. These problems stem from various important applications in energy networks (e.g., how to build a network that can survive failures on particular power lines), epidemic containment (e.g., how to ensure disconnectivity between various populations) and defense operations (e.g., where to focus attacks on enemy to ensure faster victory). The problem involves in effectively identifying a subset of nodes or edges of a network, which on deletion results in a subgraph with desirable properties. Some of the properties of interest include the connectivity in the graph, a restrictive size of the largest component, and denseness of the components formed. The property under study, however, must satisfy two conditions, namely, hereditary and non-triviality [4]. The properties pro-posed help in designing attack and defense strategies for networks in order to study and/orexploit vulnerabilities in a network.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2017
Source ID
FA95501710029

Entities

People

  • Vinícius L. de Lima

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Strathclyde

Tags

Fields of Study

  • Computer science

Readers

  • Graph Algorithms and Convex Optimization.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Mathematical Modeling and Probability Theory.