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Displaying 3 of 3 results network science clear

Szymon Talaga Member since: Tue, Jul 16, 2019 at 10:19 AM Full Member

MSc Psychology

PhD student in The Robert Zajonc Institute for Social Studies at the University of Warsaw.

network science; social networks; sociology; complex systems; ecological psychology; cognitive science; perception and action

Tom Brughmans Member since: Wed, Sep 24, 2014 at 07:08 PM Full Member Reviewer

PhD in Archaeology, University of Southampton (completion 13-10-2014), MSc Archaeological Computing (Spatial Technologies), University of Southampton, MA Archaeology, University of Leuven, BA Archaeology of Syro-Palestine, University of Leuven

My research aims to explore the potential of network science for the archaeological discipline. In my review work I confront the use of network-based methods in the archaeological discipline with their use in other disciplines, especially sociology and physics. In my archaeological work I aim to develop and apply network science techniques that show particular potential for archaeology. This is done through a number of archaeological case-studies: archaeological citation networks, visibility networks in Iron Age and Roman southern Spain, and tableware distribution in the Roman Eastern Mediterranean.

Furkan Gürsoy Member since: Thu, Aug 02, 2018 at 10:17 AM Full Member

Ph.D., Management Information Systems, Boğaziçi University, M.Sc., Data Science, Istanbul Şehir University, B.Sc., Management Information Systems, Boğaziçi University

Furkan Gürsoy received the BS in Management Information Systems from Boğaziçi University, Turkey, and the MS in Data Science from İstanbul Şehir University, Turkey. He is currently a PhD Candidate at Boğaziçi University. He previously worked as an IS/IT Consultant and a Machine Learning Engineer with the industry for several years. He held a Visiting Researcher Position with IMT Atlantique, France, in 2020. His research interests include complex networks, machine learning, simulation, and broad data science.

network science, machine learning, simulation, data science.

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