Worst of the bad: Violent white supremacist groups and lethality

Caspi, David J.; Freilich, Joshua D.; Chermak, Steven M.

doi:10.1080/17467586.2012.679664

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…L Fang [7] established a network of alliances between global terrorist organizations based on public data , through quantitative analysis to determine in the core network organization, and the relationship between the alliance is predicted. David J. Caspi [8] used SNA established domestic extremist and terrorist network model, analyzed the domestic white supremacist groups associated with a variety of ideological motivation homicides network, provides reference for the research of dangerous network evolution. R.H.A Lindelauf et al [9] proposed a method combining cooperative game theory with social network analysis, this method considers the terror network's structure and nonnetwork characteristics providing a more realistic theoretical method to identify the key characters in the terrorist network.…”

Section: Introductionmentioning

confidence: 99%

Study on the Space-Time Characteristics of Domestic Terrorist Activities Based on Social Network Analysis

Chen¹,

Lu²,

Zhao³

2018

dtcse

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This article focuses on the terrorist attacks, using social network analysis to study domestic terrorist activities. We have collected the text data of recent 30 years of domestic violence and terrorism in the World Terrorist Database legal district authoritative websites. The three elements like event, time and location are extracted for research. We used social network analysis software UCIET to build a multi-networks model of domestic terrorist activities, and adopt the meta-network decomposition method to decompose the multimode network into "time-location, time-incident, incident-location" 2-mode network, and converted it into a 1-mode network through rows and columns. Through the quantitative analysis of the centrality index of each subnetwork, and integrate of the two graphs and geographic information knowledge, we analyzed the characteristics of domestic terrorist activities from different perspectives. The result shows that the domestic terrorist activities clearly show the trend of spreading in large and medium-sized cities, which are vulnerable to the security of border areas, and the frequency of incidents on the timeline is wavy. These characteristics provide some practical significance for the estimate of terrorist activities and the evolution of the security situation.

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Section: Introductionmentioning

confidence: 99%

Study on the Space-Time Characteristics of Domestic Terrorist Activities Based on Social Network Analysis

Chen¹,

Lu²,

Zhao³

2018

dtcse

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The “chanification” of white supremacist extremism

Yoder,

Brown,

Carley

2024

Comput Math Organ Theory

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Much research has focused on the role of the alt-right in pushing far-right narratives into mainstream discourse. In this work, we focus on the alt-right’s effects on extremist narratives themselves. From 2012 to 2017, we find a rise in alt-right, 4chan-like discourse styles across multiple communication platforms known for white supremacist extremism, such as Stormfront. This discourse style incorporates inflammatory insults, irreverent comments, and talk about memes and online “chan” culture itself. A network analysis of one far-right extremist platform suggests that central users adopt and spread this alt-right style. This analysis has implications for understanding influence and change in online white supremacist extremism, as well as the role of style in white supremacist communications. Warning: This paper contains examples of hateful and offensive language.

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