CEU Building

Department of Network and Data Science

The Department of Network and Data Science at Central European University provides an organizational platform for research in network science, with a special focus on applications to practical social problems. The department offers a PhD program and an Advanced Certificate Program in Network Science. 

Dec
Jozsef Baranyi, Akos Jozwiak

Surprising Patterns Found in the Internal Dynamics of Two Reference Networks

József Baranyi, Ákos Jóźwiak
Nov
CEU Vienna

Uncertain Networks from Noisy Data

Jean-Gabriel Young
Nov
Luis Natera

Multilayer Network Analysis of Sustainable, Multimodal Urban Transport Networks

Luis Guillermo Natera Orozco
Nov
Abdullah Alrhmoun

Social Bots’ Strategies in Online Social Networks

Abdullah Alrhmoun
Vienna Campus | Quellenstrasse 51 | C322
Nov
Tobias Thomas

Media Impact on Perception and Behavior / Statistics Austria Presents Itself at CEU

Tobias Thomas
Vienna Campus | Quellenstrasse 51 | C322
Nov
CEU Vienna

The Impact of Bots on Human Collaboration Based on Wikipedia Data (Departmental Webinar)

Balazs Vedres
Nov
Daniel Kondor

Research Perspectives in Modeling and Simulations of Human Mobility

Dániel Kondor
Vienna Campus | Quellenstrasse 51 | C322
Oct
CEU Vienna

Models and Experiments for Cooperation in Hierarchies and Other Projects

Pablo Lozano
Vienna Campus | Quellenstrasse 51 | C322
Jul
Andras Borsos

Shock Propagation in Interacting Economic Networks

András Borsos
Jun
Marc Santolini

Collective Knowledge Production to Address Wicked Problems

Marc Santolini
Jun
Astrid Zeman

The Gaze of the Robot: Do Machines See Like Us?

Astrid Zeman
Jun
Leto Peel

Hierarchical Community Structure in Networks

Leto Peel
Jun
Elsa Arcaute

Urban Complexity Science

Elsa Arcaute
May
Philipp Hoevel

A Journey through Neuroscience

Philipp Hövel
May
Data Stories at CEU 8th Edition

Data Stories 2021: Data Visualization Exhibition and Meetup

May
Nicola Perra

Modelling the Spreading of the COVID-19 Pandemic at Different Spatio-Temporal Scales

Nicola Perra
Apr
Iva Bacic

Inverse Stochastic Resonance and a Growth Model for Linear Physical Networks

Iva Bačić
Apr
Eszter Bokanyi

The Anatomy of Metropolitan Spatial Social Networks

Eszter Bokányi
Mar
Fariba Karimi

Mixing Patterns in Social Networks and Their Impact on Minorities

Fariba Karimi
Mar
Isabela Rosario Villamil

Structural Links, Strategic Behavior, and Competition Among Firms in Public Procurement Markets

Isabela Rosario Villamil
Mar
Ludovico Napoli

Social Network Reorganization During Emergency Lockdown

Ludovico Napoli
Mar
Anxo Sanchez

Random Thoughts on Digital Data Collection

Anxo Sánchez
Mar
Patricia Menéndez

The Versatility of Statistics in Uncovering the Power of Data

Patricia Menéndez
Mar
Jari Saramaki

Modelling Temporal-Network Spreading in the Age of Covid-19

Jari Saramäki
Mar
Digital contact tracing durning COVID-19

BA in QSS Open Class: What does big data tell us about the spread of COVID in Hungary?

Márton Karsai, Júlia Koltai
Vienna Campus | Quellenstrasse 51