SOCIAL NETWORK ANALYSIS

Academic year
2020/2021 Syllabus of previous years
Official course title
SOCIAL NETWORK ANALYSIS
Course code
CT0540 (AF:320628 AR:172516)
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Educational sector code
INF/01
Period
1st Semester
Course year
3
Where
VENEZIA
Moodle
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Methodologies for the analysis, modeling, and forecasting of complex dynamical systems with a specific focus on social networks
The student will be able to operate with massive datasets and to model them in the complex systems framework for predictive analytics.
The main objective of the course will be for the student to have a comprehensive understanding of the state of the art in the field and about its future development.
Programming, Calculus and Probability.
Introduction to Data and Complexity
Data and Privacy
Stochastic Processes
Complex Networks (Random, Small-World, Scale-Free)
Community Detection Algorithms
Homophily and Assortativity
Assortative Mixing, Link Prediction
Modeling Dynamical Processes on Complex Networks
Introduction to Sentiment Analysis
Spreading Phenomena (Epidemics and Information Diffusion)
Opinion Dynamics
Data Visualization
Barrat, A., Barthelemy, M., & Vespignani, A. (2008). Dynamical processes on complex networks. Cambridge university press.

Network Science, A.L. Barabàsi http://networksciencebook.com
Written Test and Group Project
Slides, Practical Sessions, Discussion Papers
Italian
written and oral
Definitive programme.
Last update of the programme: 08/07/2020