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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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
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
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
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
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
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
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
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
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
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
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
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
Theory DataAnalysis
Numerical Experiments
LabExperiments
FieldExercises
Real-WorldOperations
• First principles• Rigorous math• Algorithms• Proofs