Introduction to network analysis in Python (NetPy)

DataScience@UL-FRI is an initiative at the Faculty of Computer and Information Science, University of Ljubljna (UL-FRI). Our mission is to make UL-FRI a leading center for teaching, research and industry collaboration in the area of Data Science.

Data Science@UL-FRI

Faculty of Computer and Information Science

SummaryThis workshop is primarily aimed at (Python) programmers, either academics, professionals or students, that wish to learn the basics of modern network science and practical analyses of complex real networks, such as social, information and biological networks. Familiarity with the basics of probability theory, statistics and linear algebra is strongly encouraged. The workshop is based on the Masters level course Introduction to network analysis offered by the instructor at UL-FRI (http://lovro.lpt.fri.uni-lj.si/posters/frinets.pdf).Syllabus<ul><li>From classical graph theory to modern network science.</li><li>Large-scale structure of real networks and graph models.</li><li>Measures of node importance and link analysis algorithms.</li><li>Network community, core-periphery and equivalence structure.</li><li>Network-based mining, visualization and practical applications.</li><li>Hands-on: Network abstraction, node centrality, link prediction, community detection, network mining and visualization.</li></ul>Instructors<a href="http://lovro.lpt.fri.uni-lj.si/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Lovro Šubelj</a> is a researcher and lecturer in the field of network science and general data analysis. He is currently an assistant professor at the University of Ljubljana, and has over 10 years of professional and academic experience in network analysis. He as a coauthor of more than 60 scientific papers on network analysis, and has developed original network analysis methods and algorithms for companies such as Petrol and Celtra. Together with his fellow colleagues he is also organizing the only network analysis conference in Slovenia called NetSlo.Attendee equipment prerequisitesIt is recommended that you bring a laptop with a working installation of Python, and the NetworkX package. Alternatively, you can work with any other network analysis package, such as igraph, graph-tool or SNAP.py. Finally, for the purposes of visualization of smaller networks, it is recommended to have a working installation of some network analysis software, such as Gephi or visone (optional).

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Introduction to network analysis in Python (NetPy)

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Introduction to network analysis in Python (NetPy)

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