Quantifying the Global Support Network for Non-State Armed Groups (NAGs)

01/31/2021
by   Weiran Cai, et al.
7

Human history has been shaped by armed conflicts. Rather than large-scale interstate wars, low-intensity attacks have been more prevalent in the post-World War era. These attacks are often carried out by non-state armed groups (NAGs), which are supported by host states (HSs). We analyze the global bipartite network of NAG-HS support and its evolution over the period of 1945-2010. We find striking parallels to ecological networks such as mutualistic and parasitic forms of support, and a nested and modular network architecture. The nestedness emerges from preferential behaviors: highly connected players are more likely to both gain and lose connections. Long-persisting major modules are identified, reflecting both regional and trans-regional interests, which show significant turnover in their membership, contrary to the transitory ones. Revealing this architecture further enables the identification of actor's roles and provide insights for effective intervention strategies.

READ FULL TEXT

page 1

page 4

page 6

page 7

page 19

page 21

research
05/25/2018

A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads

Asking effective questions is a powerful social skill. In this paper we ...
research
10/26/2015

A Parallel algorithm for X-Armed bandits

The target of X-armed bandit problem is to find the global maximum of an...
research
02/22/2018

Regional Multi-Armed Bandits

We consider a variant of the classic multi-armed bandit problem where th...
research
06/10/2022

Global Internet public peering capacity of interconnection: a complex network analysis

A massive and growing part of Autonomous System (AS)-level traffic excha...
research
02/04/2023

A Minimax Approach Against Multi-Armed Adversarial Attacks Detection

Multi-armed adversarial attacks, in which multiple algorithms and object...
research
09/04/2020

Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models

The special epistemic characteristics of the COVID-19, such as the long ...
research
05/10/2023

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

Many networks in political and social research are bipartite, with edges...

Please sign up or login with your details

Forgot password? Click here to reset