Toronto Metropolitan University
Browse

Adversarial Networks and Low-key Leaders

Download (9.17 MB)
thesis
posted on 2024-05-06, 19:13 authored by Jiajie Yuan

  

In adversarial networks, edges correspond to enmity or competition. A new type of vertex called a low-key leader is identified in adversarial networks, distinguished by having a high CON-score and low PageRank. We demonstrate the existence of low-key leaders in adversarial networks by considering data from real-world networks. The three types of adversarial networks we consider are: i) dominance networks in animal populations, ii) trading networks between countries, and iii) Bitcoin trust networks. In each case, low-key leaders are detected. We introduce the direct ranking model that generates power-law directed graphs with low-key leaders. We conclude with several open questions for future work.

History

Language

English

Degree

  • Master of Science

Program

  • Applied Mathematics

Granting Institution

Ryerson University

LAC Thesis Type

  • Thesis

Thesis Advisor

Anthony Bonato

Year

2022

Usage metrics

    Applied Mathematics (Theses)

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC