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

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About

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

E-Mail: rodica.lung@econ.ubbcluj.ro

Main interests: game theory, evolutionary algorithms

Dr. Gaskó Noémi

E-Mail: gaskonomi@cs.ubbcluj.ro

Main interests: computational game theory, evolutionary algorithms

Dr. Mihai Suciu

E-Mail: mihai-suciu@cs.ubbcluj.ro

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

Dr. Tudor Dan Mihoc

E-Mail: mihoct@cs.ubbcluj.ro

Main interests: artificial intelligence, game theory, evolutionary computation

Drd. Annamaria Szenkovitz

Drd. Florentin Bota

List of publications

Publications

  1. Mihai-Alexandru Suciu, Noémi Gasko, Ioana Rodica Lung (2017) Approximation of Nash equilibria and the network community structure detection problem. PLoS ONE 12(5): e0174963. https://doi.org/10.1371/journal.pone.0174963 (O2, A1-4), zona rosie.
  2. Lung, R.I., Suciu, M.A., Gasko, N., Adaptive Mixed Nash Extremal Optimization, in evaluare.

  3. 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.
  4. 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.
  5. Noémi Gaskó, Rodica Ioana Lung and Mihai Suciu, Community Detection in Bipartite Networks Using a Noisy Extremal Optimization Algorithm, Springer Series in Computational Intelligence
  6. 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
  7. Noémi Gaskó, Florentin Bota, Mihai Suciu, and Rodica Ioana Lung. 2017. Community structure detection in multipartite networks: a new fitness measure. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17). ACM, New York, NY, USA, 259-265. DOI: https://doi.org/10.1145/3071178.3071295 , indexat ISI.
  8. Lung, R.I., Suciu, M.A., Gaskó, N., 2018. About Nash equilibrium, modularity optimization, and network community structure detection, Advances in Intelligent Systems and Computing. doi:10.1007/978-3-319-67180-2_20, indexat ISI
  9. Lung, R.I., Suciu, M.A., Gaskó, N., Exploring the Map Equation: Community Structure Detection in Unweighted, Undirected Networks, Advances in Intelligent Systems and Computing, Springer, 2017, indexat ISI

    Conference presentations:

  10. 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.
  11. 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.
  12. 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.
  13. Noémi Gaskó, Florentin Bota, Mihai Suciu, and Rodica Ioana Lung. 2017. Community structure detection in multipartite networks: a new fitness measure. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '17). ACM, New York, NY, USA, 259-265. DOI: https://doi.org/10.1145/3071178.3071295
  14. Lung, R.I., Suciu, M.A., Gaskó, N., Exploring the Map Equation: Community Structure Detection in Unweighted, Undirected Networks, Mendel 2017, Brno, Cehia
Contact us

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

+40-264-418655/5810

rodica.lung@econ.ubbcluj.ro

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