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Network Analytics (SMM638) ― README

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This is the GitHub repository for the course Network Analytics, SMM638. The repo is alive and will be updated throughout the term.

Why a Network Analytics course?

Networks are ubiquitous: job offerings reach us via inter-personal connections; what we see on the screen of our digital device is a function of the relationships we develop in the digital world; market valuations are — largely — the byproduct of social influence, which accumulates and spreads over relations. This module provides students with cutting-edge network theories and practical tools to appreciate the organization and functioning of disparate networks. Ultimately, the goal is to develop a distinctive angle on how networks bring value to individuals, organizations, and communities.

Learning Objectives

In terms of learning objectives, by the end of the module, students will be able to:

  • Appreciate the properties of networks;
  • Appreciate the properties of communities of nodes belonging to a network;
  • Appreciate the properties of individual nodes belonging to a network;
  • Visually represent the key features of networks;
  • Leverage the most advanced Python modules for network analytics;
  • Mobilize key network analytics notions and tools to produce elegant, effective, and efficient solutions to practical problems in the field of business analytics.