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Hi πŸ‘‹ I am Martina!

I am a postdoctoral researcher at the Department of Network and Data Science at the Central European University (Vienna, Austria).

I completed my Ph.D. in Computer Science at the Max Planck Institute for Intelligent Systems and the University of TΓΌbingen, supervised by Dr. Caterina De Bacco, with a doctoral dissertation entitled "Probabilistic Generative Models for Inference on Complex Systems".

πŸ” My research focuses on the development of statistical methods and algorithms to analyze network data.

πŸ”— If you want to know more about me, check my website: mcontisciani

πŸ“« For any question, please do not hesitate to get in touch at: [email protected]

Martina Contisciani's Projects

crep icon crep

Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.

hypergraph-mt icon hypergraph-mt

Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of any size in a principled way.

jointcrep icon jointcrep

Probabilistic generative model for network analysis that takes into account community structure and reciprocity by specifying a closed-form joint distribution of a pair of network edges.

mtcov icon mtcov

Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities in directed and undirected multilayer networks.

piham icon piham

Probabilistic generative model to perform inference in attributed multilayer networks, where both edges and attributes can have arbitrary data types.

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