The Communication Characteristics and Intervention of Terrorism-related Public Opinion An Analysis of Manchester Bombing Terrorist Attack

2021 ◽  
Vol 7 (5) ◽  
pp. 3671-3684
Author(s):  
Na Han ◽  
Runhua Tang ◽  
Jianjun Wang
Keyword(s):  
Social Network ◽  
National Security ◽  
Network Structure ◽  
Information Diffusion ◽  
Terrorist Attack ◽  
Intervention Strategy ◽  
Opinion Leaders ◽  
Governance System ◽  
Counter Terrorism ◽  
Related Information

[Purpose / Significance] The crisis of misinformation will increase in 5G.The spread of terrorism-related information in sudden violent and terrorist incidents in social networks has a great impact on national security and counter-terrorism work. The communication characteristics and impact of terrorism-related information is the guarantee of counter-terrorism work. The construction of counter-terrorism intelligence intervention strategy is in line with the scope of national security, which also is the embodiment of the national security governance system and counter-terrorism capabilities. [Methods/Procedures] Based on the social network analysis method and analyzing the communication characteristic of terrorism-related information and the factors of intervention, this paper proposed an intervention mechanism for terror-related information based on online social network. The proposed mechanism consists of three aspects: communication topic, communication structure and opinion leaders. [Results/Conclusion] The study finds out that we should strengthen the role of opinion leaders in information diffusion of news and government media, in terrorist incident, the network structure is loose and free on the whole, the spread of information influences the network structure and interaction. Government should supervise a real-time control on information emotional trend and hot topic according to different types of network structure characteristics, guiding the positive information and cooling down the harmful ones.

scholarly journals From Hijackings to Right-Wing Extremism: The Drivers of New Zealand’s Counter-terrorism Legislation 1977 – 2020

2021 ◽  
Author(s):  
Sheridan Webb
Keyword(s):  
New Zealand ◽  
National Security ◽  
Terrorist Attack ◽  
Royal Commission ◽  
Right Wing ◽  
Counter Terrorism ◽  
Security Services ◽  
Fit For Purpose ◽  
Right Wing Extremism ◽  
Law Making

New Zealand is currently faced with the need to address extensive recommendations from the recently completed report of the Royal Commission of Inquiry into the terrorist attack on the Christchurch masjidain on 15 March 2019 (RCOI). The RCOI was not tasked with reviewing New Zealand’s terrorism legislation, but it has commented among its recommendations on the need for relevant national security legislation that is fit-for-purpose and empowers and resources security services appropriately. This paper outlines New Zealand’s counter terrorism legislative chronology, exposing historic themes of slow law making, political disinterest and reactive and incomplete solutions. If New Zealand is to address the RCOI recommendations, it will need to break with previous approaches to legislating terrorism and boldly pursue a new more proactive narrative.

Evolutionary dynamics modeling of symbolic social network structure equilibrium

2020 ◽  
Vol 17 (10) ◽  
pp. 229-240
Author(s):  
Weijin Jiang ◽  
Sijian Lv ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Fang Ye ◽  
...  
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Evolutionary Dynamics ◽  
Dynamics Modeling ◽  
Social Network Structure

Online Communities and Social Network Structure

2019 ◽  
Author(s):  
Yanhao Wei ◽  
Wensi Zhang ◽  
Sha Yang ◽  
Xi Chen
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Online Communities ◽  
Social Network Structure

scholarly journals Inequality is rising where social network segregation interacts with urban topology

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gergő Tóth ◽  
Johannes Wachs ◽  
Riccardo Di Clemente ◽  
Ákos Jakobi ◽  
Bence Ságvári ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Urban Geography ◽  
Online Social Network ◽  
Stage Model ◽  
Significant Relationships ◽  
Social Segregation ◽  
Social Network Structure ◽  
Physical Barriers

AbstractSocial networks amplify inequalities by fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation, which is reflected in fragmented social network structure. Geographical impediments such as distance and physical or administrative boundaries also reinforce social segregation. Yet, less is known about the joint relationships between social network structure, urban geography, and inequality. In this paper we analyze an online social network and find that the fragmentation of social networks is significantly higher in towns in which residential neighborhoods are divided by physical barriers such as rivers and railroads. Towns in which neighborhoods are relatively distant from the center of town and amenities are spatially concentrated are also more socially segregated. Using a two-stage model, we show that these urban geography features have significant relationships with income inequality via social network fragmentation. In other words, the geographic features of a place can compound economic inequalities via social networks.

Efficient Time Series Clustering and Its Application to Social Network Mining

2014 ◽  
Vol 23 (2) ◽  
pp. 213-229 ◽  
Author(s):  
Cangqi Zhou ◽  
Qianchuan Zhao
Keyword(s):  
Time Series ◽  
Social Network ◽  
Information Diffusion ◽  
Time Series Data ◽  
Online Social Network ◽  
Dissimilarity Measure ◽  
Series Data ◽  
Formation Mechanisms ◽  
Network Analyses ◽  
Definition Of

AbstractMining time series data is of great significance in various areas. To efficiently find representative patterns in these data, this article focuses on the definition of a valid dissimilarity measure and the acceleration of partitioning clustering, a common group of techniques used to discover typical shapes of time series. Dissimilarity measure is a crucial component in clustering. It is required, by some particular applications, to be invariant to specific transformations. The rationale for using the angle between two time series to define a dissimilarity is analyzed. Moreover, our proposed measure satisfies the triangle inequality with specific restrictions. This property can be employed to accelerate clustering. An integrated algorithm is proposed. The experiments show that angle-based dissimilarity captures the essence of time series patterns that are invariant to amplitude scaling. In addition, the accelerated algorithm outperforms the standard one as redundancies are pruned. Our approach has been applied to discover typical patterns of information diffusion in an online social network. Analyses revealed the formation mechanisms of different patterns.

scholarly journals Formation of raiding parties for intergroup violence is mediated by social network structure

2016 ◽  
Vol 113 (43) ◽  
pp. 12114-12119 ◽  
Author(s):  
Luke Glowacki ◽  
Alexander Isakov ◽  
Richard W. Wrangham ◽  
Rose McDermott ◽  
James H. Fowler ◽  
...  
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Social Dynamics ◽  
Small Scale ◽  
East African ◽  
Nomadic Pastoralists ◽  
Social Network Structure ◽  
The Social ◽  
Total Impact ◽  
Social Network Position

Intergroup violence is common among humans worldwide. To assess how within-group social dynamics contribute to risky, between-group conflict, we conducted a 3-y longitudinal study of the formation of raiding parties among the Nyangatom, a group of East African nomadic pastoralists currently engaged in small-scale warfare. We also mapped the social network structure of potential male raiders. Here, we show that the initiation of raids depends on the presence of specific leaders who tend to participate in many raids, to have more friends, and to occupy more central positions in the network. However, despite the different structural position of raid leaders, raid participants are recruited from the whole population, not just from the direct friends of leaders. An individual’s decision to participate in a raid is strongly associated with the individual’s social network position in relation to other participants. Moreover, nonleaders have a larger total impact on raid participation than leaders, despite leaders’ greater connectivity. Thus, we find that leaders matter more for raid initiation than participant mobilization. Social networks may play a role in supporting risky collective action, amplify the emergence of raiding parties, and hence facilitate intergroup violence in small-scale societies.

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