Dr. Dimitrios Vogiatzis
Department of Computer Information Systems
​School of Business

When: Monday, May 23, 14:30 – 15:30

Where: Deree Faculty Lounge

Organized by: Faculty Research Seminars 2015-16 Series

"We study the identifiability of users across social networks, with a trainable combination of different similarity metrics. This application is becoming particularly interesting as the number and variety of social networks increase and the presence of individuals in multiple networks is becoming commonplace. Motivated by the need to verify information that appears in social networks, the presence of individuals in different networks provides an interesting opportunity: we can use information from one network to verify information that appears in another. In order to achieve this, we need to identify users across networks. We approach this problem by a combination of similarity measures that take into account
the users' affiliation, location, professional interests and past experience, as stated in the different networks.  The experiments show that identification is possible with sufficiently high accuracy to support the goal of verification."

Based on the following publication:

K. Zamani,  G. Paliouras, and D. Vogiatzis, "Similarity-based User Identification across Social Networks", Lecture Notes in Computer Science, Springer (SIMBAD 2015, LNCS 9370, Chapter 14), 2015 

Dimitrios Vogiatzis, PhD, Research Faculty: BSc in Computer science, University of Athens, MSc in Knowledge Systems, University of Edinburgh, PhD in Neural Networks, National Technical University of Athens (2001). He has been involved over the past 15 years in research in the area of computational intelligence, neural networks, user modelling, and recommender systems, resulting in 40 publications in conferences and journals. Recently he has been interested in methods for social network analysis in complex networks. He has served as visiting professor at the University of Cyprus and as research associate at NCSR “Demokritos.” Currently at the rank of Research Faculty at Deree, he is teaching at the undergraduate level a variety of courses, such as: Artificial Intelligence, Web Science, Algorithms and Complexity, Game Programming and Computer N etworks.