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Network Science: From Theory to Practice

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Network games and percolation. Carlson. Complex disaster phenomena. Alderson ... Network games and percolation. Theory. Data. Analysis. Numerical. Experiments ... – PowerPoint PPT presentation

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Title: Network Science: From Theory to Practice


1
Network Science From Theory to Practice
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

2
Existing Network Science
  • Graph-Based Statistical Physics
  • Simulation on Graphs

Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

3
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

4
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

5
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

6
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

7
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

8
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

9
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

10
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

11
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

12
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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

13
Lab Experiments
Field Exercises
Theory
Data Analysis
Numerical Experiments
Real-World Operations
  • 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
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