1. Creating Interdependent Multilayered Networks
(a group project)

2. Overview Project Goal, Data,
Real and synthetic layers (already created),
Quest: Create Interdependent Multilayered Network.

3. Goal To create an interdependent multilayered network:
We have the layers (next slides)
Question: how do we create the connection between layers?

4. Data used to create the layers

5. Creating the Network
NTC uses the Decisive Action Training Environment (DATE) which is supported by many publications
DATE Version 2.2
DATE Network Overview
TC Opposing Force
Tactics
TC Irregular
Opposing Forces
NTC Red Book
FOR OFFICIAL USE ONLY

6. Definitions: DATE
The Decisive Action Training Environment (DATE) is a very detailed training scenario. The scenario provides of five OEs in the Caucasus region; specifically the countries of Ariana, Atropia, Gorgas, Minaria, and Donovia.
Atropia is the oil exporting nation U.S. forces are deployed to support. It is loosely based on the nation of Azerbaijan.
Donovia is a militarily superior invading enemy nation. It is loosely based on the Russian Federation.

7. The layers of the multilayered network

8. The Network’s layers
Each relationship is a layer in a multilayered network
Political (based on scenario data)
Military (hybrid of synthetic and real data) based on:
Combat Power (synthetic based on doctrinal models)
Capabilities (based on Army doctrine)
Economic (based on scenario data)
Social (based on scenario data):
Shared Ideology and social identity
Family
Friends
Activities
Information (synthetic layer) based on:
Cell Phone Communication (synthetically created)
FM Radio Communication (synthetically created)
Satellite Phone Communication (synthetically created)
We now present each layer separately

9. Collective nodes are sized larger than individuals
Political Layer
Political actors can mobilize group identity, ideas, beliefs, action and violence to enhance their power and control over society, people, territory and resources.
Two types of nodes:
Individuals
Sets of people (country, units, towns)
We created directed edges
demonstrating political
influence.
Data driven network
Collective nodes are sized larger than individuals

10. Within the Military Layer: Combat Power Sublayer (1)
Correlation of Forces Model
BDEs have greater FE than the sum of their BNs
BNs have greater FE than the sum of their companies
There is value in cooperation and support capabilities (combined arms)
We seek to model this phenomenon
Doctrinally driven network

11. Within the Military Layer: Combat Power Sublayer (2)
Combined Arms BDE FEBDE = 63
Compute the value of Bb:
Evaluate the combat power of v when supported by battalion elements, BNPowerv

12. Within the Military Layer: Combat Power Sublayer (3)
Create a battalion join, Jb, from Pb and Qb
Assign a value to the degree of Pb, Bb.
Evaluate the combat power of v when supported by battalion elements, BNPowerv
Combined Arms BDE
FEBDE = 63

13. Within the Military Layer: Combat Power Sublayer (4)
Create a brigade join, JBDE from Pv and Qv
Compute a weigth for each brigade:
Compute the combat power of v when supported by brigade elements, BDEPowerv

14. Within the Military Layer: Combat Power Sublayer (5)
Create a brigade join, JBDE from Pv and Qv
Compute the weight D for each brigade
Compute the combat power of v when supported by brigade elements, BDEPowerv
Combined Arms BDE
FEBDE = 63

15. Within the Military Layer: Capability Sublayer
Companies, cells, or other units are nodes assigned to set U and connected to set C
Capabilities (set C)
ABCT - METL from DTMS
BTG and BFB - similar U.S. Army unit’s METL and Army publications
SPF, PAL, and cartel - Army publications
All capabilities (set C) are assigned a relationship to the warfighting function or military function (set F) they support.
Doctrinally driven network
BFB Capabilities
Nodes sized by set

16. Economic Layer Nodes Edges Economic variable Data driven network
Individuals
Collective
Edges
Employment relationships
Black market activity
Economic variable
Individual behaviors
Aggregate behaviors
Production
Distribution
Data driven network

17. Social Layer Two types of nodes: Sublayers: Individuals
Small nodes are individuals, larger ones are collective groups
Two types of nodes:
Individuals
Collective groups
Sublayers:
Family
Friends
Activities
Shared Ideology and social identity (displayed on the right, and in the .zip folder) based on:
Cultural
Religious
Ethnic
Identity
Behaviors
Values
Four complete graphs (not so interesting yet).
We can add the other three layers.

18. Information Layer (synthetic)
Information variable: effects of individuals, organizations, and systems that
Collect
Process
Disseminate
Act on information.
Nodes: represent individuals.
Edges: represent communication between two individuals for a particular mode of communication
We created a synthetic layers (combining random graphs, preferential attachment models and DATE) based on possible communication as:
FM Radio
Satellite Phone
Cell phone

19. Information Layer (overview)
BTG
ABCT
BFB
Atropian
SPF
PAL
Division Tactical Group (DTG)
Brigade Tactical Group (BTG)
Special Purpose Forces (SPF)
Criminal Organizations: Cartel
Guerrilla organization: Bilasuvarian Freedom Brigade (BFB)
Insurgent Organization: Provisional Army of Lezgin (PAL)
Cartel