Curriculum
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Descriptions
COMP_SCI 341: Social Networks Analysis


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Prerequisites

The course has no formal pre-requisites but will be most beneficial to students who have had an introductory statistics course

Description

The use of social network analysis to understand the growing connectivity and complexity in the world around us on different scales, ranging from small groups to the World ‘Wide Web. How we create social, economic, and technological networks, and how they enable and constrain attitudes and behaviors.

  • This course is an MS elective for Industrial Engineering.
  • Cross-listed with IEMS 341 & Comm_St 352.
  • Formerly Comp_Sci 396 - last offer was Summer 2023
  • This course satisfies CS Technical Elective.

 LEARNING OBJECTIVES

  • The use of social network analysis to understand the growing connectivity and complexity in the world around us on different scales, ranging from small groups to the World Wide Web.
  • How we create social, economic, and technological networks, and how they enable and constrain attitudes and behaviors.

 TOPICS

  • Social network concepts and theories
  • Visual-analytic methods
  • Network mapping
  • Recommender systems
  • Search engines
  • Social networking sites

MATERIALS

All readings will be posted on the course Canvas site

ADDITIONAL INFORMATION

The course will discuss how social networks concepts, theories, and visual-analytic methods are being used to map, measure, understand and design a wide range of phenomena such as social networking sites (e.g., Facebook, Twitter), recommender systems (e.g., Amazon, Netflix, Pandora), trust and reputation systems (e.g., eBay, Epinions, Slashdot), search engines (e.g., Google, Bing), P2P file-sharing (e.g., BitTorrent), user-generated content (e.g., Flickr, Wikipedia, Yelp), social news sites (e.g. reddit) and virtual worlds (e.g., Second Life, EverQuest, World of Warcraft).

COURSE COORDINATORS: Noshir Contractor

COURSE INSTRUCTOR : Prof. Contractor