Corso: SOCIAL NETWORK ANALYSIS 2022-2023 | Moodle Scienze umane

  • Course Schedule


    • Le1 - Thu Oct. 6, 2022 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. 7, 2022 Social cognition and social network analytics, Social network game, Bonding and bridging social capitals, Entitativity and ostracism, The cyber ball, Cohesion and brokerage, 

    • Le3 - Fri Oct. 14, 2022 Networks as graphs; Directed and undirected networks; Examples; Weighted and signed graphs; The adjacency matrix: symmetries and conventions; Sparsity.

    • Le4 - Thurs Oct. 20, 2022  Granovetter's weak tie theory, Weak ties, bridges, and structural holes, Efficient and effective networks. Project milestones: theoretical grounding, relevance, shaping the research question.

    • Le5 - Fri Oct. 21, 2022 Bipartite graphs; Projections; Centrality measures; Degree for undirected and directed networks; Average degree; Authorities and hubs; Degree distribution; Loglog plot.

    • Le6 - Thu Oct. 27, 2022  Literature search: how to theoretically ground your research ideas in scientifically sound evidence. Tools and methods to look for literature search using online sources from key work planning to content management: how to assess journal authority, how to select relevant manuscripts, how to evaluate the quality of papers. Literature search lab in the classroom.

    • Le7 - Fri Oct. 28, 2022 Brainstorming session on projects: 1) Language and sexist hate speech, 2) Menstrual stigma, 3) Anxiety and social media, 4) Politicians targeting young people on social networks

    • Le8 - Thu Nov. 3, 2022 Brainstorming session on projects: 5) Incels & alt-right, 6) Victim blaming, 7) Cancel culture. Methodological insights about network project:  the process project definition, identification of the social network, and its boundaries. Sampling Issues. 
    • Le9 - Fri Nov. 4, 2022 Statistical sampling; IP discussion continued; The power-law and scale-free networks; Preferential attachment; PageRank centrality: the random walk rationale; Solution to dead ends and spider traps: the teleportation vector.

    • Le10 - Tue Nov. 8, 2022 (tentative) Presentation of interdisciplinary projects to engineers/data scientists


    • Le11 - Thu Nov. 10, 2022 Pagerank versus degree; Tuning the teleport vector: local PageRank and topic specific PageRank; Examples of application; Closeness centrality; Betweenness centrality.

    • Le12 - Fri Nov. 11, 2022 Semantic networks: issues about text retrieval, mining, and coding. Focus on linguistic cues of psychological processes and inter group relations. Overview of properties coded with LIWC dictionary


    • Le13 - Thu Nov. 17, 2022 Clustering coefficient; Wrap up on centrality measures; Polarisation, homophily, selective exposure; Echo chambers and filter bubbles; Examples.


    • Le14 - Fri Nov. 18, 2022 Polarisation in pro-life/pro-choice networks; Assortative and disassortative networks; Nearest neighbour degree; Conceptual picture of a network and its relation to Granovetter's theory; Algorithmic approaches; The core-periphery model; Overlapping communities.

    • Le15 - Thu Nov. 24, 2022 The relation between personality, structural position in the network and productivity. 

    • Le16 - Fri Nov. 25, 2022 Social contagion. A review of social influence on several behaviors.  A study distinguishing homophily from contagion. A field experiment showing the power of small manipulation in the context of voting behaviors.  Social contagion spreads faster across strong ties, with important consequences for the political involvement of crowds.

    • Le17 - Thu Dec. 1, 2022 IPs discussion: victim blaming, menstrual stigma, cancel culture, hate speech covid, accomodation

    • Le18 - Fri Dec. 2, 2022 IPs discussion mental health, hate speech, incels; Community detection: some algorithmic approaches; Network robustness; Robustness of scale-free networks; Robustness to attacks; Optimizing robustness; Example with Tweets sentiments.

    • Le19 - Thu Dec. 15, 2022 Twitter and Reddit Lab: how to scrape data from social networks by using R. by Bruno Gabriel Salvador Casara

    • Le20 - Fri Dec. 16, 2022 Gephi Lab: how to give networks a graphical representation through the open-source software Gephi https://gephi.org/. by Lejla Dzanko

    • Le21 - Thu Dec. 22, 2022 (tentative) IP projects feedback

  • Video lectures from 21/22