היקף הקורס: 1 י"ס
This is a course on how the social, technological, and natural worlds are connected, and how the study of networks sheds light on these connections. The "social network" has captured popular imagination because of the spread of social media, however we have always been creatures of our networks – whether those networks involve family, villages, tribes, or Facebook. The topics we will cover include: social network structure and its effects on business and culture` understanding how the structural properties of networks help us understand social capital, power, ties and closure` the propagation through networks of information, fads and disease` power laws, network effects, and "rich-get-richer" phenomena` using networks for prediction` leveraging information networks for web search` networks and social revolutions, and the melding of economics, machine learning, and technology into new markets, such as "prediction markets" of the peer markets that comprise the "sharing economy".
One main goal of this class is to work our way through parts of the new, acclaimed textbook: networks, Crowds, and markets: Reasoning About a Highly Connected World, by David Easley and Jon Kleinberg.
http://www.cs.cornell.edu/home/kleinber/networks-book/networks-book.pdf
The textbook readings will be complemented with classic and recent research papers
