class: center, middle background-color: white .title[Violent Network Structure:] .subtitle[How Cooperative Networks Help and Constrain Violent Groups] .author[Laila A. Wahedi] .date[March 29, 2019] .institution[@lwahedi] .institution[McCourt School of Public Policy, Georgetown University]
.center[] .footnote[Created with [{Remark.js}](http://remarkjs.com/) using [{Markdown}](https://daringfireball.net/projects/markdown/) + [{MathJax}](https://www.mathjax.org/) + [{Liminal}](http://www.jmlilly.net/liminal.zip)] --- class: center background-color:#AF002B .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Terrorist Groups Don't Act Alone:
Train
Trade
Work
Together
--- class: center, .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
What's good for AQIM...
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Is good for al Qaeda...
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And good for al Shabaab
--- class: center, .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
But what's bad for one can hurt the rest
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These chains compound:
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Puzzle:
# How do patterns of partnerships constrain and enable violent groups? --- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralization:
## Extent to which one group has more influence than others within the network
--- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralization:
## Extent to which one group has more influence than others within the network
--- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
High Centralization: Free Syrian Army
#### Semi-independent sub-groups fit into an ordered hierarchy
--- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
High Centralization: al Qaeda and ISIS
#### Alliances of independent groups formed around a strong actor
--- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Low Centralization: Islamists in Syria
#### Independent groups with overlapping ties, no one stands out
--- class: center background-color: #9BC53D .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Low Centralization: Syrian Rebels
#### Decentralized networks can still have structure
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Decentralized:
Redundant Paths:
Autonomy
Robust to Random Removal
Inefficient
Free Riding
Vulnerable to Unraveling
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralized:
Information Shortcuts
Efficient
Robust to Random Removal
Costly for Center
Periphery Loses Freedom
Vulnerable to Targeted Removal
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralized:
Information Shortcuts
Efficient
Robust to Random Removal
Specialization
Periphery Loses Freedom
Vulnerable to Targeted Removal
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralized:
Information Shortcuts
Efficient
Robust to Random Removal
Specialization
Periphery Trades For Efficiency
Vulnerable to Targeted Removal
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Centralized:
Information Shortcuts
Efficient
Robust to Random Removal
Specialization
Periphery Trades For Efficiency
Evolves Around Strong Core
--- class: center background-color: .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Structure and Security:
Centralization
Leverage
Security
Leverage
Loss of Autonomy
Insecurity
--- class: center, background-color: #FFBA00 .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Empirical Implications
Groups in centralized local networks should:
Survive
Mobilize Violence
Learning
--- class: center, background-image: url(../figures/seg_arch1.png) .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Empirical Building Blocks: Data
Big Allied And Dangerous I
Cooperative Partnerships
Rivalries
Group-level covariates
Time-static
--- class: center, background-image: url(../figures/seg_arch2.png) .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Empirical Building Blocks: Data
Terrorism Knowledge Base
Attack Event Data
Tactical Information
Event-level covariates
--- class: center, background-image: url(../figures/seg_arch3.png) .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Empirical Building Blocks: Data
All Together
Whether a partner has
used a tactic in
the past three years
--- class: center, background-image: url(../figures/seg_arch6.png) .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Keystone: Hierarchical TNAM
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Results: Learning
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Results: Lethality
Groups in centralized local networks kill more people, and conduct more attacks
* Additive effect, no interaction --- class: center, .footnote[ Laila A. Wahedi -- Follow along at Wahedi.US, under Current Presentation -- law98@georgetown.edu]
Results: Survival
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Backup
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Empirical Building Blocks: Unpooled
Probability of adopting
a given tactic increases
when partners use the tactic in:
16/17 tactics
11/17 tactics significant
Small n, multiple tests
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Empirical Building Blocks: Pooled
.3 increase in P(adoption) when partners use it
Multiple dependent observations
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Centralization
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Eigenvector Centrality
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Lethality
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