Cancelled Classes (tentative):
February 11 2014 (ICDCIT 2014 Meeting in India)
March 18 2014 (Spring Recess),
April 15 2014 (Privacy Meeting in Italy).
Note that some of these classes may be covered by Guest Lectures.
They also link us, often through important but weak ties, to other humans. Their origin is biological: going back to quorum-sensing, swarming, flocking, social grooming, gossip, etc. Yet, as we have connected our social networks to traditional human institutions (markets, justice systems, education, etc.) through new technologies, the underlying biology has become obscured, but not dormant.
This course will introduce the tools, analytics and algorithms for the study of networks and their data. It will show how certain common principles permeate the functioning of these diverse networks: e.g., issues related to robustness, fragility, and interlinkages etc. The lectures will follow the materials in Hopcroft and Kannan's "Foundation of Data Science," with an emphasis on following topics:
(1) Introduction to networks (Biological, Social, Economic and Communication)
(2) Graph theory and social networks
(3) Random graph models
(4) Graph Laplacians and Social Ranks
(5) Data Analytics and Related Algorithms
(6) Game theory
(7) Communication and Signaling
(8) Digital Market Places
(9) Profiling, Privacy, Pricing and Coase Theorem
(10) Eneterpreneurship (Lean Structures, Business Model Canvas, Hypotheses Testing with MVPs)
(11) Case Studies:
Personal Data Markets, Wikileaks, Bit-coins, Cyber Security (M-coins), Information Finance Markets (StockTwits, Quantopia, Wealth Front, etc.), Market Microstructure