Social Network Analysis @MasterBigData2021

This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online Social Networks (OSNs). The course presents both classroom teaching to introduce theoretical concepts, and hands-on computer work to apply the theory on real large-scale datasets obtained from OSNs like Facebook and Twitter. The course aims to discuss in particular how the structural properties of social networks can be analyzed through SNA techniques, and how these properties can be used to characterize social phenomena arising in society. Instructor: Andrea Passarella TA: Giulio Rossetti The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it.

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Additional Info
Field Value
Availability On-Line
Group Others
Prerequisites None
Target users PhD Students
Thematic Cluster Social Network Analysis [SNA]
Training material typology Slides
system:type TrainingMaterial
Management Info
Field Value
Author Chiara Boldrini
Maintainer Boldrini Chiara
Version 1
Last Updated 17 December 2021, 12:02 (CET)
Created 22 November 2021, 17:09 (CET)