90-916 Econometric Theory and Methods II

6 units, Carnegie Mellon University

This course is a follow on to the Fundamentals of Social Network Methods course offered last year 90915. There is no formal prerequisite to this course however one should be familiar with basic graph theory terms and core network concepts such as centrality cliques and structural equivalence. While we will refer to these standard topics and even occasionally analyze data using some of these fundamental measures by and large we will chart new territories in this course. Topics to be covered include structural holes Level 1 analysis structural wholes Level 0 analysis diffusion and social influence models dynamic networks SIENA models and small world networks. Each week I will introduce a topic. The homework for the upcoming week will consist of readings mostly available on Blackboard and an exercise that gives you an opportunity to empirically engage that topic and utilize its associated methodologies. Most of the exericses will involve R network routines no prior R programming experience will be necessary although it certainly would be helpful. Homework assignments will be completed in small groups 23 students each. a hrefhttpwww.heinz.cmu.eduacademicresourcescourseresultscoursedetailsindex.aspxcid389...Read Morea

Prerequisites: none listed

Offered: Spring 2027

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