Former Visitors

Former Visiting Faculty

Ancsa Hannák

I recently defended my PhD in the College of Computer & Information Science at Northeastern University. My advisors are Alan Mislove and David Lazer. In my research I am investigating the impacts of personalization in various Web sevices. I am also interested in data mining and measurements on online social networks and learning new tools for analyzing large data sets. For my detailed resume please see my cv.

Blog posts by or about Ancsa on What's Up at DNDS:

Measuring Personalization in Online Services

Center Has Strong Presence at Flagship Conference on Networks


PhD in Computer Science, Northeastern University Boston
Bsc, Elte Applied Mathematics
Bsc, Elte Social Sciences

Courses taught by Ancsa Hannak

Projects with involvement of Ancsa Hannak

Gendered Creative Teams: From Marginality to Success

Rosario N. Mantegna

Rosario N. Mantegna was a professor at CEU in a joint appointment of the Department of Economics and the Department of Network and Data Science (then Center for Network Science). Besides Palermo University, where he holds a professorship, he worked at the MPI for Quantum Optics in Munich, and at Boston University. His research concerns interdisciplinary applications of statistical physics. He started to work in the area of the analysis and modeling of social and economic systems with tools and concepts of statistical physics as early as 1990 and he is one of the pioneers in the field of econophysics. He coauthored the first book on econophysics. Rosario participated in and/or coordinated several projects, including Marie Curie Host Fellowship, COST, EU STREP, INET and national ones. He received his PhD in physics from Palermo University in 1990.

Rossano Schifanella

Rossano is an Assistant Professor in Computer Science at the University of Turin, Italy, where he is a member of the Applied Research on Computational Complex Systems group. He is a visiting scientist at Nokia Bell Labs and a former visiting scientist at Yahoo Labs and at the Center for Complex Networks and Systems Research at the Indiana University where he was applying computational methods to model the behavior of (groups of) individuals and their interactions on social media platforms. His research embraces the creative energy of a range of disciplines across data mining, network analysis, urban informatics, computational social science, and data visualization. 


Ph.D. in Computer Science

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Courses taught by Rossano Schifanella

Data Mining and Big Data Analytics

János Török


PhD, Physics (”Shearing of granular materials”), Budapest University of Technology and Economics
DEA, Dynamique des Fluides et des Transferts, Paris VI-Paris Sud
MSc, French Scientific Translator, Eötvös Loránd University Budapest
MSc, Physics, Eötvös Loránd University Budapest

Former Research Fellows and Visiting Researchers

Giulia Cencetti

Giulia Cencetti earned her PhD degree at the University of Florence. Her interdisciplinary background (one year studying biology, then Bachelor’s and Master’s Degree in Physics and now a PhD in Information Engineering) took her to work on complex systems and in particular on the fascinating branch of dynamical systems on complex networks. She developed different models to explore the impact of network topology on the dynamical behavior of a system, having as an ultimate goal to apply a strategic external control. Applications are in biology, ecosystems stability, urban traffic, and information flow.

Chulho Choi

Chulho was involved in the CIMPLEX Project.

Blog posts by or about Chulho on What's Up at DNDS:

Pop in to the Evolution of Physics

Silvia Fierascu

Silvia was involved in the Ceunet/Indra project. She was also the founder of Data Stories at CEU.

Her interdisciplinary empirical research explores the formation, evolution and effects of state capture and institutionalized grand corruption. She develops a novel theoretical and analytical framework, with applications to public procurement across countries and procurement markets, over time.

Blog posts by or about Silvia on What's Up at DNDS:

DeleteFacebook on Twitter – a Hidden Political Discussion

Data Stories 2017 Exhibition Opening and Meetup

Visiting Scholar at University of Cambridge

Data Stories 2015 Research Visualization Exhibition


PhD, Comparative Politics and Network Science, Doctoral School of Political Science, Public Policy and International Relations, Central European University, Budapest, Hungary (2012-2017)
MA, Political Science, Central European University, Budapest, Hungary (2009-2011)
BA, Political Science, West University of Timisoara, Timisoara, Romania (2006-2009)

Reza Jafari

Reza Jafari is a faculty member of physics complex systems at the Shahid Beheshti University. He started his collaboration with DNDS in the winter of 2016. His research interests are collective behavior and crises in financial and social science, complex networks dynamics, fractional calculus and its application in networks when memory influences the dynamics. Recently he has used fractional calculus to introduce aged networks. Indeed, age is the same as other properties of links such as weight and direction, and it can be considered a new property for a link. Evolution of social networks happens simultaneously with the variation of their links/nodes. However, sometimes it is not easy for some links/nodes to evolve in such a process because of their age. In real networks, some links/nodes can exist that are not happy with any variations. Understanding stability, aged phase transition, information transformation of social networks are some of the challenges of this project. Some other recent projects can be found on his page in ResearchGate (

Thomas Louf

Thomas is a PhD student in the IFISC laboratory in Spain and is spending a visiting period at CEU in the research team of Prof. Márton Karsai, contributing to the CIVICA EmoMap project. His task is to complete an extensive data analysis on a Twitter data corpus collected during the COVID-19 pandemic in Italy. The goal of the analysis is to create a network representation of the data to better understand how groups expressed similar emotions during the emergency and the following intervention periods.

Sebastian Morel-Balbi

At the time of visiting, Sebastian was a PhD student at the University of Bath (UK). He holds a BSc in Physics and an MSc in Theoretical Physics both from the Sapienza University of Rome, where he specialised in statistical mechanics of disordered systems. His interest in the interdisciplinary applications of statistical mechanics led him to work in the area of complex networks. In particular, his thesis focuses on identifying the possible underlying mechanisms responsible for shaping the large-scale structure of complex networks. Amongst others, his research interests include strongly disordered systems, statistical inference, and optimisation problems.

Federico Musciotto

Federico was a Postdoctoral researcher working with Roberta Sinatra and Michael Szell on the estimation of cultural/social biases in scientific careers. He received his PhD from the Physics Department of the University of Palermo, where he developed expertise in statistical validation and information filtering applied to networks, with a focus on financial systems.

Blog posts by or about Federico on What's Up at DNDS:

Computational Social Science: A New Approach to Old Problems in Collective Behavior


PhD in Statistical Physics, University of Palermo
MSc in Theoretical Physics, University of Padova
BSc in Physics, University of Catania

Carl Nordlund

Carl Nordlund was a Postdoctoral Research Fellow with a joint position at the Department of Network and Data Science (then Center for Network Science) and the Department of Political Science. He received his PhD in human ecology from the Department of Social and Economic Geography, Lund university, in september 2010, with undergraduate studies in human ecology, economic history, development studies, economics, political ecology, environmental justice, programming, mathematics, physics, and indonesian. In his thesis monograph, network-analytical methods were applied to international trade flows of agricultural and fuel commodities, examining would-be relations between structural positionality in trade networks and occurrences of ecological unequal exchange. Outside academia, he has worked for the Swedish EPA, WWF Sweden, TV4, KTH, Swedish Space Corporation etc. His research interest is in social network analysis - methods, applications and research design – focusing on political networks and international relations.

Carl was involved in the Global Production Networks, Structural Inequalities and Unequal Exchange and the Ceunet/Indra projects.

Blog posts about Carl on What's Up at DNDS:

Center for Network Science Fellow Wins World Society Foundation Award of Excellence


PhD, Human ecology, Lund university, Sweden