Understanding Online Platform Usage of Extremist Groups via Graph Analytics

Graph analytics has become instrumental in uncovering insights across various domains, specifically in social networks. It serves as a crucial tool for analyzing the relationship between users in different online platforms. In this research, we apply methods of social network analysis to examine the communication patterns among participants in an online forum recognized for far-right extremism. Our study demonstrates the actors’ relationships and activities through different aspects of applications over networks. In extensive analysis, we identify the influential actors and map their relationships throughout the course of 76 monthly networks. Moreover, we illustrate the evolution of networks over that period, and their connections with significant events. The findings of this analysis aim to understand the nature of interactions and networks, and to allow practitioners to take necessary precautions to mitigate far-right activities on various online platforms.

Authors

Institutions

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825898
Primary Topic
Terrorism, Counterterrorism, and Political Violence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Online Platform Usage of Extremist Groups via Graph Analytics

Virginia Massignan, Anthony F. Lemieux, Tanvir Hossain, Esra Akbaş
Terrorism, Counterterrorism, and Political Violence
article

Understanding Online Platform Usage of Extremist Groups via Graph Analytics

Virginia Massignan, Anthony F. Lemieux, Tanvir Hossain, Esra Akbaş
article en

Abstract

Graph analytics has become instrumental in uncovering insights across various domains, specifically in social networks. It serves as a crucial tool for analyzing the relationship between users in different online platforms. In this research, we apply methods of social network analysis to examine the communication patterns among participants in an online forum recognized for far-right extremism. Our study demonstrates the actors’ relationships and activities through different aspects of applications over networks. In extensive analysis, we identify the influential actors and map their relationships throughout the course of 76 monthly networks. Moreover, we illustrate the evolution of networks over that period, and their connections with significant events. The findings of this analysis aim to understand the nature of interactions and networks, and to allow practitioners to take necessary precautions to mitigate far-right activities on various online platforms.

Georgia State University (US)
Openalex Percentile: Top 58%
Terrorism, Counterterrorism, and Political Violence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.