•   When: Monday, November 18, 2019 from 11:00 AM to 12:00 PM
•   Speakers: Giovanni Stilo, University of L'Aquila, Italy
•   Location: ENGR 4201
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Abstract:

Multiplex networks are a relatively recent framework to model complex systems whose semantics cannot be compressed in a single layer of nodes and relationships. Calculating centrality measures in such networks poses several additional challenges that only recently have attracted the attention of scholars. In this talk, we present a configurable methodology to tailor centrality measures with cyclicity, encoding the specific semantics and dependency between layers. Furthermore, we present an iterative algorithm with perturbations to deal with sparsity conditions.

Biography:

Giovanni Stilo is an Assistant Professor in the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila. He received his Ph.D. in Computer Science in 2013, and in 2014 he was a visiting researcher at Yahoo! Labs in Barcelona. Between 2015 and 2018, he was a researcher in the Computer Science Department at La Sapienza University, in Rome. His research interests are in the areas of machine learning and data mining, and specifically temporal mining, social network analysis, network medicine, semantics-aware recommender systems, and anomaly detection. He is a member of the steering committee of the Intelligent Information Mining research group (http://iim.disim.univaq.it/). He has organized several international workshops, held in conjunction with top-tier conferences (ICDM, CIKM, and ECIR), and he is involved as editor and reviewer of top-tier journals, such as TITS, TKDE, DMKD, AI, KAIS, and AIIM.