Up-coming course: Social Network Analysis for Behavioural Scientists using R (SNAR01) delivered by Prof. James Curley

Course Overview:

This workshop will provide students with the opportunity to learn how to use social network analysis to analyze social relational datasets such as human friendship networks or animal social networks. Attendees will learn how to use R and several R packages including igraph, sna, network, asnipe, timeordered, tsna to create network graphs, calculate descriptive network metrics, use randomization and random models to evaluate the significance of these metrics, determine graph structural properties including community structures, use QAP and MRQAP methods to assess how network characteristics relate to other individual and relational attributes, and measure change over time in dynamic networks. Attendees will also learn how to produce high quality network visualizations using R.

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