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LTC Jon Roginski, Director West Point Network Science Center LTC Jon Roginski, Director West Point Network Science Center

LTC Jon Roginski, Director West Point Network Science Center - PowerPoint Presentation

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LTC Jon Roginski, Director West Point Network Science Center - PPT Presentation

JonathanRoginskiusmaedu Dr Ralucca Gera PM Network Science Academic Certificate rgeranpsedu Networks Are Everywhere What do we think of when we hear the word network What is a network really ID: 647836

networks network roginski social network networks social roginski environment science complex applications 2013 distance problems single obesity systems times

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Slide1

LTC Jon Roginski, Director West Point Network Science CenterJonathan.Roginski@usma.eduDr. Ralucca Gera, PM Network Science Academic Certificatergera@nps.edu

Networks Are Everywhere

What do we think of when we hear the word “network?”

What is a network, really?

Into what kinds of problems do network models help us gain insight?

Relationship between networks and complexity theorySlide2

What is a Network?http://www.opte.org/maps/The Opte Project - visualizing the Internet - Asia: Red; Europe

: Green; North America: Blue; Latin America: Yellow; IPs: Cyan; Unknown

: White

The Internet

Roginski Facebook

https://lostcircles.com

/

Using the Chrome browser, download the plugin and you can see your network, too!

Most people think of these when they think of networks:Slide3

Roginski FacebookMonterey Coffee Group

Bay View Academy

Civilian Analyst Friends – Fort Drum

West Point Classmates

NPS Master’s Degree

USMA Math Department

Fairhaven Family

Watertown Gang

Inlaws

High School Classmates

Blood FamilySlide4

But Wait, There’s More!Let’s list a couple more examples we think of when we think of networks.What structures do they have in common?Entities

Relationships between entitiesData describing the entities and/or relationships

Key difference between graphs and networks

Now, with this expanded understanding of what networks are, let’s list a couple more

G = (V,E)Slide5

But Wait, There’s (still) More!UNCLASSIFIED

Since we were young, what is the technique we most often use to solve big, nasty, complicated problems?

What is the difference between “complicated” and “complex?”

We live in complex times. Complex problems and complex systems resist reductionism and disaggregation. Networks “embrace the complexity” through accounting for connections.

Now that we more fully understand the breadth of what may be appropriately modeled by a network, are there any examples we may have missed?

What can

not

be modeled by a network?

Reality: Networks are the building block of life and our environment.Slide6

Networks: “Flat” or Multilayer?Take the idea of a social network and expand.

When we include the networks associated with each element of an environment, we come closer to characterizing the environment than using one single layer or a simple aggregation of those single layers. What problem are you trying to solve?Slide7

Application: Key Leader Engagements

If I was going to recommend a KLE strategy in this area, it would be with

Zintan #1 and

Qadafa

#2

…those two influence all three layers of the network. If we determine we have the leverage, the

Petroleum Facilities Guards #3

are potentially even more impactful.

1

2

31 nodes

109 edges

3

Arab

Tubu

TauregSlide8

Applications:TargetingA military example, High Payoff Targeting: Why was the network of bad actors largely unaffected even though I removed the (apparently) most important guy from the network?That social network is only a part of the enemy’s ecosystem. We didn’t account for the impact of those other elements on the network’s robustness.Network analysis of the environment lends greater context and texture to the decision making environment, enabling greater detail and predictive power in decision recommendations.Slide9

Applications:Pandemic SpreadPandemic mitigation must account for “effective distance,” rather than geographic distance in today’s connected world.

Dirk

Brockmann

, and Dirk Helbing Science 2013;342:1337-1342Slide10

Applications:Infrastructure DefenseWith 5 edge cuts, 100% of the flow from the ports of LA and Long beach is interdicted. With 2 edge cuts, it’s 40%.Slide11

Applications:Infrastructure DefenseThough there may not be a single “cut” in a network, interdiction sets of differing sizes may achieve the desired effects of reducing flow.

Alderson, D. L., Brown, G. G., Carlyle, W. M., & Cox Jr, L. A. (2013). 

Sometimes there is no most-vital arc: assessing and improving the operational resilience of systems

. Military Operations Research, V18 N1 2013,

doi

10.5711/1082598318121Slide12

Networks and ObesityObesity clusters in children’s and adults social networks.Having a social connection who is obese predicts obesity.https://www.coursera.org/learn/systems-science-obesity/lecture/92Q5g/obesity-social-networksSlide13

Application: Job HuntingOne of the vertices is the only one that has connections to three communities.Three times “more important” than the next highest vertex.Roginski LinkedIn Network

474 vertices and 5263 edges

8

communities identified

by

Gephi

Average degree is

22

Average distance in

the graph is

3Network diameter is 9

1