CSC-N - Community structure and diffusion in social and economic networks.

Grant of the Romanian National Authority for Scientific Research and Innovation, CNCS – UEFISCDI, project number PN-II-RU-TE-2014-4-2332

Contract 288/10/2015

Find Out More


One of the most challenging problems in network analysis is the identification of the community structure, with applications in various fields such as politics, economics, biology, physics, etc.. Among the most important effects of the existence of the community structure in networks is the effect on information diffusion with immediate applications in economics and social sciences. Our project aims to design a new tool for identifying both the community structure and the appropriate information diffusion model in an integrated adaptive manner by using computational intelligence methods and equilibria concepts from game theory.

The originality of the approach consists in combining game theory tools (game models and equilibria concepts) with highly scalable nature inspired search and optimization methods in order to address both the community detection and information diffusion problems.

Meet us!

The team

Dr. Rodica Ioana Lung


Main interests: game theory, evolutionary algorithms

Dr. Gaskó Noémi


Main interests: computational game theory, evolutionary algorithms

Dr. Mihai Suciu


Main interests: evolutionary optimization, game theory, web services composition

Dr. Tudor Dan Mihoc


Main interests: artificial intelligence, game theory, evolutionary computation

Drd. Annamaria Szenkovitz

Drd. Florentin Bota



  1. Lung, R.I., Suciu, M.A., Gasko, N., A Probabilistic Game Theoretic Approach to the Problem of Community Structure Detection in Complex Networks, in revision.
  2. Lung, R.I., Suciu, M.A., Gasko, N., Adaptive Mixed Nash Extremal Optimization, in revision.


  1. Noemi Gasko, Rodica Ioana Lung, Mihai Suciu, EXTREMAL OPTIMIZATION AND NETWORK COMMUNITY STRUCTURE, The 7th International Conference on BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, Bled, Slovenia, 18-20 mai 2016.
  2. Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó, Game theory, Extremal optimization, and Community Structure Detection in Complex Networks, GECCO '16, July 20-24, 2016, Denver, CO, USA (Web of Science)
  3. Noémi Gaskó, Rodica Ioana Lung and Mihai Suciu, Community Detection in Bipartite Networks Using a Noisy Extremal Optimization Algorithm, Springer Series in Computational Intelligence (Web of Science)
  4. Lung, R. I., Suciu, M., Meszlényi, R., Buza, K., & Gaskó, N. (2016, September). Community Structure Detection for the Functional Connectivity Networks of the Brain. In International Conference on Parallel Problem Solving from Nature (pp. 633-643). Springer International Publishing (Web of Science)

  5. Rodica Ioana Lung, Noemi Gasko, Mihai Suciu, Network community structure detection and the Berge-Zhukovskii equilibrium, 28th European Conference on Operational Research, Poznan, 3-6 iulie, 2016.
  6. Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó, Game theory, Extremal optimization, and Community Structure Detection in Complex Networks, 12th European Meeting on Game Theory (SING12), Odense (Denmark), 11-13 iulie, 2016.
  7. Mihai Suciu, Rodica Ioana Lung, Noémi Gaskó, About Nash Equilibrium, Modularity Optimization, and Network Community Structure Detection, GAMES 2016, the 5th World Congress of the Game Theory Society, Maastricht University 24-28 iulie 2016.

Let's Get In Touch!

Rodica Ioana Lung

Centre for the Study of Complexity, A14
Str. Fantanele, Nr. 30, RO - 400294, Cluj

& Faculty of Economics and Business Administration
T. Mihali 58-60, room 230