Network Science From Theory to Practice Theory First
- Slides: 13
Network Science: From Theory to Practice Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Existing Network Science • Graph-Based Statistical Physics • Simulation on Graphs Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Jadbabaie Chung Graham Hill Kearns Steckler Collective behavior, social aggregation Network games and percolation Social network signatures Behavioral network science Hastily Formed Networks Hassibi Doyle Carlson Alderson Information flow and consensus Architecture of complex networks Complex disaster phenomena Network centric infrastructure Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Jadbabaie Collective behavior, social aggregation Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Hill Social network signatures Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Hassibi Information flow and consensus Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Kearns Behavioral network science Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Chung Graham Network games and percolation Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Carlson Complex disaster phenomena Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Doyle Architecture of complex networks Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Alderson Network centric infrastructure Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Steckler Hastily Formed Networks Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
Jadbabaie Chung Graham Hill Kearns Steckler Collective behavior, social aggregation Network games and percolation Social network signatures Behavioral network science Hastily Formed Networks Hassibi Doyle Carlson Alderson Information flow and consensus Architecture of complex networks Complex disaster phenomena Network centric infrastructure Theory • First principles • Rigorous math • Algorithms • Proofs Data Analysis Lab Numerical Experiments • Correct • Simulation statistics • Synthetic, • Only as good as clean data underlying data • Stylized • Controlled • Clean, realworld data Field Exercises • Semi. Controlled • Messy, real -world data Real-World Operations • Unpredictable • After action reports in lieu of data
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