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 (

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

Former Visiting Students

Cristian Candia

Hi! I'm Cristian Candia-Castro-Vallejos. I'm a Chilean physicist who also did a physics engineering program at the University of Concepcion. There, I worked on experimental physics at the center for optics and photonics. When I was in my master in physics, and also was teaching some physics classes at the University of Concepcion and University of Bio Bio, I realized that I needed to explore something else, something outside of the physics labs, so I changed my focus and I started to study econophysics. That was my entrance to the social science world. 

After finishing my master, I moved to the University of Desarrollo in Santiago and I got enrolled to the Center for Social Complexity, I got my master in social complexity science, then I moved to the MIT media lab for a year to work on my  P.hD. thesis, then I moved for six months to the Barabasi lab, to continue working on my thesis. Now, I'm finishing my Ph.D. at the Department of Network and Data Science at CEU. 

My interests are related to analytic studies on collective memory; knowledge diffusion; decision making, learning, and bullying in the education systems; evolutionary psychology; economic complexity, reality mining; science of success; collective learning; data science; social dynamics; and applied networks. Besides, I'm very interested in basketball, sailing, football, dancing, and singing (I had a band attempt and surprisingly I was the singer).

Sara Heydari

I am a PhD student in Complex Systems at Aalto University, Finland. I have a mixed background of Physics and Computer Science: I did my Bachelor's studies at Shahid Beheshti University in Iran, where I got interested in network science and then moved to Finland to do a Master's degree in Complex Systems in the Computer Science Department of Aalto University.

I am interested in applying network science and mathematical methods to study the behavior of people and societies. My Master’s thesis uses mobile-phone datasets to investigate persistent features of ego-networks both in time and across different channels of communication.

Martina Iori

Martina Iori visited our department when she was a third-year PhD candidate in Economics, curriculum Economics and Complexity, at the University of Turin and Collegio Carlo Alberto (Turin, Italy). She received her Master Degree in Theoretical Physics from the University of Turin, developing her thesis at the Statistical Physics group of the International School for Advanced Studies (SISSA) in Trieste. She held a Master of Arts in Economics and Complexity at Collegio Carlo Alberto, where she studied both standard economic theories and advanced computational techniques, commonly used in complex-system analysis.

In her PhD thesis, she investigates how methodologies as agent-based modelling, network analysis and machine learning are becoming more and more necessary to describe the current economic systems. In particular, her research focuses on two different systems: retail electricity market and scientific research.

Blog posts by Martina on What's Up at DNDS:

Ecological Networks – From Individuals to Ecosystems

Daniel Monsivais

Daniel Monsivais is a doctoral student in Computer Science at Aalto University. He has BSc in Physics (experimental acoustics - wave propagation in dispersive media) and a MSc in Computer Science (GP-GPU applied to Secondary Oil Recovery models), both from National University of Mexico (UNAM),  and a MSc in  Complexity Science (spatially embedded networks and optimal packing) from  University of Mexico City (UACM). In the recent years as an Aalto PhD student, he has been working on Complex Social Systems (human social focus over the life course; influence of cultural, religion and migration on the structure of kinship networks), Circadian Rhythms (sleep-wake cycle inferred from mobile phone activity) and Experimental and Behavioural Economics (human decision making process in online games).

He is also interested in data mining and machine learning techniques, agent based models, numerical methods, and open-source software and operating systems.

Ludovico Napoli

Ludovico visited our department when he was an International Master student in Physics of Complex Systems at the University of Pisa. The Master is organized in four semesters in different academic institutions: Sissa and ICTP in Trieste, Politecnico in Turin and a consortium of universities in Paris (Sorbonne, Paris VII, Paris Saclay). Ludovico has recently lost some interest in pure theoretical physics and he is now getting fascinated by the application of the quantitative tools commonly used in physics to the study of complex social and economic phenomena, and for this reason, he has come to DNDS to work on his Master’s thesis. Among other things, he loves sports (especially rowing, football, sailing, and snowboarding) and music (he plays the piano and the guitar). Since then, Ludovico has got admitted to DNDS to the cohort starting 2019-20.

Benjamin Sischka

Benjamin studied Statistics in Dortmund and Genoa (Bachelor's and Master's Degree). Currently he is a PhD student and Research Assistant at the Department of Statistics at the LMU in Munich. His research interests lie in the modeling of complex networks, where he specifically attempts to find further forms of representation for the data-generative process as well as corresponding novel estimation routines.

Judit Varga

Judit is a PhD student in Science, Society and Technology Studies at the University of Nottingham (UK). She has a background in the behavioural and social sciences. Judit’s thesis investigates how the knowledge created through the analysis of georeferenced social media data (such as geotagged Tweets and Instagram posts) is situated in the history of human geography. It combines participant observation and bibliometric network analysis to gain a picture of how human geography researchers advocate for and against the use of such data. During her visit at DNDS, Judit aims to explore how she can apply network science methods in her project.

Lizhi Zhang

Lizhi is a PhD student in the EPSRC Centre for Doctoral Training in Statistical Applied Maths at Bath (SAMBa). He is also an enrichment student in the Alan Turing Institute, London. His research interests include Bayesian statistics, network science and machine learning. He became fascinated with complex network during his undergraduate study in applied mathematics. He decided to do research in network after a summer placement in GlaxoSmithKline where he extracted biomedical networks from literature using text mining techniques. In Lizhi’s PhD, he focuses on community detection in networks. The goal of his PhD project is to develop a series of models and associated inference algorithms that are capable of extracting large-scale structures from network data, in a manner that includes realistic assumptions (such as preferred mixing patterns, growth dynamics, spatial embedding, etc.). The main methodology will be the Bayesian construction of generative network models, as well as algorithmic inference techniques such as MCMC, expectation-maximisation and variational methods.