My research furthers the agenda of understanding historical dynamics in network systems, combining insights from network science, economic sociology, historical sociology, and studies of complexity in physics and biology. My research findings were published in the top journals of sociology, with two recent articles in the American Journal of Sociology exploring the concept of structural folds: creative tensions in intersecting yet cognitively diverse cohesive communities. For the past ten years I was building an interdisciplinary center, the Center for Network Science at CEU, that is now becoming a department. I was building up the second PhD program in network science in the world. I am also an entrepreneur, co-founder of digital startups offering SaaS solutions based on network science and gamification. I had been translating my research outcomes into consulting for several business and government entities for the last twenty years.
My most recent research follows video game designers, jazz musicians, and software developers as they weave collaborative networks through their projects, recording sessions, repositories. I am answering questions about the sources of creativity, the significance of gender diversity, and the nature of gender inequality. At a more general level I am investigating the historical sustainability of innovation systems. I am also engaged in research that explores the networked evolution of the global economy in a monograph in the works for Cambridge University Press titled "Network Science of Economic Globalization."
Columbia University, New York
Corvinus University, Budapest
Corvinus University, Budapest
Center for Network Science, Central European University
2008 - Current
Center for Network Science and the Department of Sociology and Social Anthropology, Central European University
2008 - Current
Department of Sociology and Social Anthropology, Central European University
2004 - 2008
European University Institute.
Editorial Board, American Journal of Sociology.
European Academy of Sociology.
Economic Sociology Section of the American Sociological Association.
"Forbidden triads and creative success in jazz: the Miles Davis factor."
Applied Network Science.
DeVaan, Mathijs, Balazs Vedres, and David Stark.
"Game Changer: The Topology of Creativity."
American Journal of Sociology.
Bruszt, Laszlo, and Vedres Balazs.
"Associating, mobilizing, politicizing: local developmental agency from without."
Theory and Society, 42(1): 1-23.
Balazs Vedres, and Marco Scotti (editors).
Networks in Social Policy Problems.
Cambridge University Press, Cambridge UK.
David Stark and Balazs Vedres.
"Political Holes in the Economy: The Business Network of Partisan Firms in Hungary."
American Sociological Review 77(5):700-722.
Co-founder, board member
The aim of this course is to give scalable computational tools to researchers interested in investigating social network research questions. The course will introduce R (via R notebooks) as a key tool to analyze networks: to import and manage network data, to describe a network, to visualize networks from a dozen to tens of thousands of nodes, and to use statistical tests for network hypotheses at node or dyadic levels. We will discuss centralities, community detection, blockmodeling, brokerage, rewiring-based null models, and multiplex networks. Datasets from diverse research projects will be provided: collaboration and communication networks, world trade, animal social networks.
You are expected to download and install R-studio, and bring your computer to class. We will step through procedures together in class. Please see the resources below for R notebook files that you can open in R-studio. Data will also be there. You should download these and keep them in the same folder. So first, make a folder for the class. Make sure you have read-write privileges for this folder.
Then install R-studio from here: https://www.rstudio.com/products/rstudio/download/
Then download R notebooks, and un-zip the contents in your folder for the class. These are R notebooks (RMD files). You can open the ".Rmd" files in R-studio. The RMD file names tell you the sequential order of the class, and also the theme of the notebook.
And last, download data files and helper files we will need, and un-zip the contents in your folder for the class. These are various text, CSV and R code files that our R notebooks will be using.