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Description
This is a 4-day (Mon-Thu) workshop taught by Martin Everett. The workshop is intended for participants who already have some experience with network analysis, but would like to deepen and broaden their knowledge. Topics include: analysis of network change, advanced centrality methods advanced approaches to 2-mode data, analyzing negative ties, working with multiple relations, and testing unusual hypotheses. In addition, participants will learn more about UCINET and NETDRAW efficiently (including powerful undocumented features). Finally, we will analyze some substantial datasets that are more interesting than the toy datasets we usually use for teaching.
Advanced Centrality. How to use more complex centrality measures such as Bonacich's Beta Centrality, including how to select beta. New classes of centrality measures, such as ones calculated by measuring a network statistic, removing a node, and then recalculating the network statistic to see how much that node was contributing to the network as a whole.
2-Mode data. We discuss advances in both constructing better 1-mode projections of 2-mode data, and analyzing 2-mode data directly.
Software Tips and Tricks. For example, how to correlate all members of a set of independent variables with all members of a set of dependent variables, but without correlating all the indeps with each other. How to compute shortest paths using valued data.
Schedule
Monday
Graph theory and matrix algebra refresher
Tuesday
Advanced centrality
Working with attributes, including incorporating them into centrality calculations
Wednesday
Randomization tests, including LRQAP (logistic regression QAP) Part I
Analyzing network change Part I
Thursday
Analyzing network change Part II
Advanced data entry formats
2-mode data
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