====== Network Analysis 1 ====== [[ru:hse:idx|HSE]] This year the lectures will be based on [[ru:hse:rnet20:doc#recordings|recordings]] of last year's online Zoom lectures. ===== Course description ===== 16. Network Analysis\\ a. **Prerequisites:** none\\ An introduction to various concepts, methods, and applications of social network analysis drawn from the social and behavioral sciences. The primary focus of these methods is the analysis of relational data measured on groups of social actors. Topics to be discussed include a basic introduction to network analysis, graphs and matrices, basic network measures and visualization, reciprocity and transitivity, dyadic and triadic analysis, centrality, egocentric networks, two-mode networks (affiliations, bibliographic/scientometric analysis), cohesive subgroups, equivalences and blockmodeling, hubs & authorities, cores & peripheries, clustering and graph partitioning, large scale structure of networks, statistical modeling in a network (ergm/p*/RSiena) and network dynamics, and change in networks. ===== Course materials ===== * [[.:rnet20:doc|Slides and wiki pages]] * [[.:rnet:stu22|Students]] * [[.:rnet:url|Links]] * [[.:rnet:dat|Data sets]] [[ru:hse:idx|HSE]]