CS Colloquium Series @ UCY
The Department of Computer Science at the University of Cyprus holds research colloquiums and social hours approximately once weekly. All university students, faculty, and staff are invited to attend. Notifications about new and upcoming events are automatically disseminated to a variety of institutional lists.
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Colloquium Coordinator: Demetris Zeinalipour
Colloquium: Modeling Multi-way Interactions in Networks: The Beta Model for Hypergraphs, Dr. Despina Stasi (University of Cyprus, Cyprus), Friday, November 21, 2014, 15:00-16:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Modeling Multi-way Interactions in Networks: The Beta Model for Hypergraphs
Speaker: Dr. Despina Stasi
We are interested in representing the occurrence of group interactions among individuals in a network, rather than binary relations. As hypergraphs are the natural structure to capture this information, we generalize a well known exponential random graph family and present the beta model for hypergraphs, an exponential family of probability distributions, whose natural sufficient statistic vector is the degree sequence of the hypergraph. This talk is based on joint work with Sadeghi(CMU), Petrovic(IIT), Rinaldo(CMU) and Fienberg(CMU). No prior knowledge of (hyper)graph theory is assumed.
Despina Stasi holds a PhD in Mathematical Computer Science from the University of Illinois at Chicago (2012). She was a postdoctoral scholar on the DARPA-funded GRAPHS program “Algebraic Statistics for Network Models” at the Pennsylvania State University and the Illinois Institute of Technology (2012-2014). She currently holds a Marie Curie Experienced Researcher Fellowship at the Laboratory for Internet Computing at the University of Cyprus. Her research interests are evolving and include theoretical and computational problems in discrete structures, with applications to linear exponential families in statistical models for social networks and logic-based expert systems in artificial intelligence.
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