Click on the class title to see the assignments due for that class. Please note that this schedule is subject to change during the semester. You must check it weekly. See the syllabus for information on where the class meets and what the zoom address is.
Date | Title | Description |
26-Jan | Introduction | Welcome to the course & the field |
02-Feb | Research designs & data collection | Research designs & data entry |
09-Feb | Math Foundations | mostly graph theory; some matrices |
16-Feb | Visualization | Network representations |
23-Feb | Node level analysis I | characterizing a node's local environment |
02-Mar | Node level analysis II | Centrality 1 |
09-Mar | Node level analysis III | Centrality 2 |
16-Mar | Dyad level analysis I | relations among relations |
23-Mar | Dyad level analysis II | statistical hypotheses |
30-Mar | Dyad level analysis III | statistical hypotheses; Andy Pilny |
06-Apr | Dyad level analysis IV | ERGM; Filip Agneessens |
13-Apr | Network level analysis I | Characterizing whole groups/networks |
20-Apr | Network level analysis II | Detecting cohesive subgroups / communities |
27-Apr | Network level analysis III | Detecting cohesive subgroups / communities |
04-May | special topics | Network analysis with Python and Jupyter |
11-May | Network analysis with Python and Jupyter | Nathaniel Hudson |
Paper due by midnight, one week after last class.