NETWORKS, CROWDS AND MARKETS
Année du cours : 1 année(s)
Etablissement : IÉSEG School of Management
Langue : English
Formation(s) dans laquelle/lesquelles le cours apparait :
Période : S1
This course will use some game theory, statistics, econometrics, and analytical reasoning. The course will aim to be self-contained and develop concepts and tools from the ground up, but some (undergraduate-level) background in these areas is highly recommended.
At the end of the course the student should be able to :
-Represent a wide variety of real world business environments, such as in trade, finance, and supply chains as networks.
-Define the structure, function, robustness, and efficiency of such interconnected systems.
-Suggest improvements to the design of existing networks in business.
-Develop approaches to studying networks for research.
Networks are everywhere. Global trade, supply chains, financial markets, the World Wide Web, professional and social communities are examples of interconnected systems that are important to the structure and function of the modern world. The pattern of connections in such systems can often be represented as a network, the components of the system being the nodes and the connections the links. Networks are a general yet powerful means of representing patterns of connections or interactions between parts of such systems. The first part of this course will introduce tools for the study of networks and show how common principles permeate the functioning of diverse networks and how the same issues related to robustness, fragility, and interlinkages arise in different types of networks. The second part of this course will use examples and applications of the network approach to reveal new and useful insights into trade, finance, business, and society.
