Teachers
* the student should have learned at least one software for the analysis and visualization of data especially for networks and text
* the student should be able to interpret experimental results and draw conclusions relevant to the domain of discourse.
* the student should be able to communicate effectively the results of an experimental analysis.
In the course we will address advanced topics in data analysis and data visualization of data. In particular the topics covered include:
– Network science: centrality and power, similarity, community, resilience, distances and small worlds, power laws and scale-free networks
– Text analysis: frequency of words and documents, sentiment analysis, n-grams and co-appearance of terms, topic modeling
– Blockchain.
Mark Newman. Networks: An Introduction. Oxford University Press, 2010.
Networks, crowds and markets, David Easley and Jon Kleinberg
Università degli Studi di Udine
Dipartimento di Scienze Matematiche, Informatiche e Fisiche (DMIF)
via delle Scienze 206, 33100 Udine, Italy
Tel: +39 0432 558400
Fax: +39 0432 558499
PEC: dmif@postacert.uniud.it
p.iva 01071600306 | c.f. 80014550307
30 km from Slovenia border
80 km from Austria border
120 km from Croatia border
160 km South West of Klagenfurt (Austria)
160 km West of Lubiana (Slovenia)
120 km North East of Venezia (Italy)