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Dissertation/Thesis Abstract

Social Network Analysis of Extremist Groups Using R
by Fernandez, Pauline S., M.S., California State University, Long Beach, 2020, 127; 27829907
Abstract (Summary)

Extremism, for centuries, have existed in virtually every culture. With the advancement of communication and technology in the past few decades, extremism was able to spread more easily across the country through connections and networking. In this study, we will look closely into simulated connections of extremist groups and use different methods to analyze these networks. Social Network Analysis will be introduced, followed by the use of Exponential Random Graph, Nearest-Neighbor and Auto-Logistic to model the data.

Indexing (document details)
Advisor: Korosteleva, Olga
Commitee: Suaray, Kagba, Safer, Alan
School: California State University, Long Beach
Department: Mathematics and Statistics
School Location: United States -- California
Source: MAI 82/2(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Statistics, Applied Mathematics, Web Studies
Keywords: R Language, Social Network Analysis, Social Networks
Publication Number: 27829907
ISBN: 9798664724585
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