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CS8803-NS Network Science Fall 2013. Instructor: Constantine Dovrolis constantine@gatech.edu http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/. Disclaimers.
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CS8803-NSNetwork ScienceFall 2013 Instructor: Constantine Dovrolis constantine@gatech.edu http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/
Disclaimers The following slides include only the figures or videos that we use in class; they do not include detailed explanations, derivations or descriptionscovered in class. Many of the following figures are copied from open sources at the Web. I do not claim any intellectual property for the following material.
Outline • Social contagion, information diffusion, influence, • Differences with epidemic spreading • The physicist’s approach: social contagion as a form of dynamic percolation (Watts’ paper) • The (theoretical) computer scientist’s approach: seeding strategies for maximum influence on given network (Kempe’s paper) • The observational approach: dynamics of information cascades in Twitter (Bakshy’s paper) • The sociologist’s controlled experiment approach: the importance of reinforcement signals in social contagion (Centola’s paper) • The computational modeling approach: significance of modeling homophily (Aral’s paper)
Please download the slides for this research paper from: http://www.cs.washington.edu/affiliates/meetings/talks04/kempe.pdf