Аналіз соціальних мереж 2017
This course covers the basics of social network analysis. We start with an overview of concepts used to describe and measure networks. Next, we will discuss a series of models of how networks impact behavior, including contagion, diffusion, and opinion formation.
1. Introduction to social network analysis
2. Network structure
3. Mathematical models of networks
4. Network centrality
5. Network communities
6. ‘Small-World’ Networks
7. Epidemics and information spreading in networks
8. Opinion formation and segregation in networks
Gephi, Python, igraph
Basic statistics and linear algebra. Programming skills.
Mr. Ievgen Terpil
Affiliation: YouScan / Institute for Applied System Analysis, Kyiv, Ukraine
Currently I work as a Data Scientists at YouScan. Our company is focused on the analysis of social media and we constantly have a lot of text classification and text clusterization tasks.
I am also a graduate student at ESC “Institute for Applied System Analysis” of NTUU “KPI” now. My PhD thesis are focused on social networks analysis and public opinion modeling.
Fields of interests: Social Network Analysis, NLP, Deep Learning, Public opinion modeling.
Contacts: [email protected]