| Session | |
WS-M06: Introduction to social network analysis using R
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| Session Abstract | |
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This 6-hour workshop provides an overview of network measures, as well as a short introduction into data collection and data management. The focus is on complete networks, although some topics might also be useful for analyzing egonetwork data. The course outline is as follows: - Introduction to social networks, different types of networks (including two-mode/affiliation networks and valued networks) - Different types of datastorage: adjacency matrices, nodelists and edgelists, and incorporating attributes - Basic visualization - Centrality measures - Whole network structural measures (density, centralization) - Subgroups, such as cliques, as well as community detection | |
| Presentations | |
Introduction to social network analysis using R This 6-hour workshop provides an overview of network measures, as well as a short introduction into data collection and data management. The focus is on complete networks, although some topics might also be useful for analyzing egonetwork data. The course outline is as follows: - Introduction to social networks, different types of networks (including two-mode/affiliation networks and valued networks) - Different types of datastorage: adjacency matrices, nodelists and edgelists, and incorporating attributes - Basic visualization - Centrality measures - Whole network structural measures (density, centralization) - Subgroups, such as cliques, as well as community detection | |