Lectures content

Le1 - Thu Oct 1, 2026 Introduction to the course, What is social network analysis, What is a network, Examples of networks, Introducing the class, their own background and their expectation on the course

Le2 - Fri Oct 2, 2026 Networks as graphs; Directed and undirected networks; Examples; Weighted and signed graphs; Weighted and signed graphs; The adjacency matrix: symmetries and conventions; Sparsity. 

Le3 - Thu Oct 8, 2026 Social cognition and social network analytics, Networks of people, Psychometric network, Semantic networks, The process of a network project, Define problem and purpose, From questions to indicators: an example with #climatechange call for action discourse on Twitter. 

Le4 - Fri Oct 9, 2026 Brainstorming session on project topics and group forming. 

Le5 - Thu Oct 15, 2026  Network of People, my personal network; Social capital, Entativity, Ostracism, Cohesion, Borokerage, Granovetter's weak tie theory, Weak ties, bridges, and structural holes, Efficient and effective networks. 

Le6 - Fri Oct 16, 2026 Network of people: sampling methods, relation between personality and productivity via structural features. Networks as graphs: Distances; Small world, Connectivity, Bridges; Bipartite graphs; Projections; Centrality measures; Degree for undirected and directed networks; Average degree; Authorities and hubs; Degree distribution; Log-log plot of the degree distribution; Power-law and scale-free networks; Explaining the power-law with preferential attachment and attactiveness.

Le7 - Thu Oct 22, 2026 Project ideas presentations: 1) True crime, 2) Ozempic and fashion stereotipes, 3) Fast fashion, 4) Memes and propaganda, 5) Online fandom networks, 6) Trends of overconsumption.