Schema della sezione

  • Lectures take place both in presence and online (on Microsoft Teams 668AA 21/22 - SOCIAL NETWORK ANALYSIS - For the setup guide refer to the UNIPI documentation)
    All lectures will be recorded and made available along with the slides/notebooks used in class (you can find them under the "Files" tab in the Team channel).

    For each lecture are reported the book chapters/papers to be studied: while some of them are mandatory (i.e., most book chapters and surveys) others are suggested readings. 


    DateTopic (and teacher)  Slides/Video   Materials
     
     1

     
     14.02.2022
     16.02.2022

     
     Introduction to Complex Network Analysis
    (Dino Pedreschi, Giulio Rossetti)


     Slides

     
     Reading:
     Chapter 1, 2 of Kleinberg's book and Chapter 1 of Barabasi's book.

     
     2

     
     21.02.2022 
     
     
     Graphs and networks. Basic measures
    (Dino Pedreschi)


     Slides

     
     Reading: Chapter 2 of Barabasi's book.

     
     3

     
     23.02.2022
     
     
     Random networks
    (Dino Pedreschi)

     Slides
     Reading: Chapter 3 of Barabasi's book.


     4

     
     28.02.2022
     
     
     It's a small world!
    (Giulio Rossetti)

     Slides
     Reading: Chapter 20 of Kleinberg’s book.
     
     Papers:
     Milgram's 6 degrees paper. (suggested)
     Watts-Strogatz's Small World paper. (suggested)

     
     5

     
     2.03.2022

     Scale-free networks
    (Dino Pedreschi, Giulio Rossetti)
     Slides 
     Reading: Chapters 4 & 5 of Barabasi's book
     
     Papers:
     Barabasi-Albert Preferential Attachment model. (suggested)

     
     6

     
     7.03.2022

     
     Centrality & Assortative Mixing
    (Giulio Rossetti)

     Slides
     Reading: Chapter 3 & 4 of Kleinberg's book

     
     7

     
     9.03.2022

     
     Tie Strength & Resilience
    (Dino Pedreschi, Giulio Rossetti)

     Slides
     Reading: Chapter 8 of Barabasi's book and Chapter 3 of Kleinberg's book

     8 14.03.2022 Exercise for the 1st midterm
    (Dino Pedreschi, Giulio Rossetti)
      
     9 16.03.2022Gephi & Cytoscape Tutorial
    (Dino Pedreschi, Giulio Rossetti)
       
     
     10 21.03.2022 High-order network analysis
    (Dino Pedreschi, Giulio Rossetti)
     Slides
     Papers:
     The why, how, and when of representations for complex systems
     Hypernetwork science via high-order hypergraph walks
     Networks beyond pairwise interactions: structure and dynamics (suggested)
     Hypernetwork Science: From Multidimensional Networks to Computational Topology (suggested)

     11 23.03.2022
     28.03.2022 
     Community Discovery
    (Dino Pedreschi, Giulio Rossetti)
     Slides 
     Reading:
     Chapter 9 of Barabasi's book

     Survey: 
     Community Detection in Graphs (suggested)
     
     Papers:
     Algorithm specific papers as reported in the slides (suggested)

     12 30.03.2022 Dynamic Of Networks
    (Giulio Rossetti)
     Slides 
     Survey: 
     Temporal Networks

     Papers:
     Stream graphs and link streams for the modeling of interactions over time (suggested)

     13 04.04.2022 1st Midterm
    (Dino Pedreschi, Giulio Rossetti)



     
     14 06.04.2022 Link Prediction
    (Dino Pedreschi, Giulio Rossetti)
     Slides  Survey: 
     The link‐prediction problem for social networks.
     15   Dynamic Community Discovery
    (Giulio Rossetti)
     Slides  
     Papers:
     Challenges in community discovery on temporal networks
     
     Survey: 
     Community Discovery in Dynamic Networks: a Survey (appendix not needed)

     
     16

      Diffusion: Decision-based models
    (Dino Pedreschi)

     Slides
     
     
     Reading: 
    Chapter 19 of Kleinberg's book
     

     Papers: 
     Threshold models of collective behavior (suggested)
     
     Book:
     Rogers, E. M. “Diffusion of innovations” (suggested)

      17 
     

     Diffusion: Epidemics
    (Dino Pedreschi)
     Slides

     Reading: Chapter 21 of Kleinberg's book and Chapter 10 of Barabasi's book
     
      18


     Diffusion: Opinion Dynamics
    (Giulio Rossetti)
     
     Slides

      
     Papers:
     Opinion dynamics: models, extensions and external effects.
     Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model (suggested) 
     
     
     19

     
     Applications:
     Cognitive Network Science
     (Guest Lecture by Prof. Stella) 


     
     20  
     Applications:
     Echo Chambers, d/misinformation and
     Polluted Information Environments
    (Guest Lecture by Dott. Morini and Dott. Pansanella)
     
      
     21 Exercise for the 2nd midterm
    (Dino Pedreschi, Giulio Rossetti)
      
     22  2nd Midterm
    (Dino Pedreschi, Giulio Rossetti)