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Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs •Correct statistics •Only as good as underlying data •Simulat ion •Synthet ic, clean data •Stylize d •Control led •Clean, real- world •Semi- Control led •Messy, real- world data •Unpredicta ble •After action reports in lieu of data Network Science: From Theory to Practice
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Page 1: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

Network Science: From Theory to Practice

Page 2: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

Existing Network Science

• Graph-Based Statistical Physics• Simulation on Graphs

Page 3: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

JadbabaieCollective behavior, social aggregation

HassibiInformation flow and consensus

HillSocial network signatures

Chung GrahamNetwork games and percolation

CarlsonComplex disaster phenomena

AldersonNetwork centric infrastructure

StecklerHastily Formed Networks

KearnsBehavioral network science

DoyleArchitecture of complex networks

Page 4: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

JadbabaieCollective behavior, social aggregation

Page 5: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

HillSocial network signatures

Page 6: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

HassibiInformation flow and consensus

Page 7: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

KearnsBehavioral network science

Page 8: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

Chung GrahamNetwork games and percolation

Page 9: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

CarlsonComplex disaster phenomena

Page 10: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

DoyleArchitecture of complex networks

Page 11: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

AldersonNetwork centric infrastructure

Page 12: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

StecklerHastily Formed Networks

Page 13: Theory Data Analysis Numerical Experiments Lab Experiments Field Exercises Real-World Operations First principles Rigorous math Algorithms Proofs Correct.

Theory DataAnalysis

Numerical Experiments

LabExperiments

FieldExercises

Real-WorldOperations

• First principles• Rigorous math• Algorithms• Proofs

• Correct statistics• Only as good

as underlying data

• Simulation• Synthetic,

clean data

• Stylized• Controlled• Clean,

real-world data

• Semi-Controlled•Messy,

real-world data

• Unpredictable• After action

reports in lieu of data

JadbabaieCollective behavior, social aggregation

HassibiInformation flow and consensus

HillSocial network signatures

Chung GrahamNetwork games and percolation

CarlsonComplex disaster phenomena

AldersonNetwork centric infrastructure

StecklerHastily Formed Networks

KearnsBehavioral network science

DoyleArchitecture of complex networks


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