Exploring the solution landscape enables more reliable network community detection

@article{Calatayud2019ExploringTS,
  title={Exploring the solution landscape enables more reliable network community detection},
  author={Joaqu{\'i}n Calatayud and Rub{\'e}n Bernardo-Madrid and Magnus Neuman and Alexis Narv{\'a}ez Rojas and Martin Rosvall},
  journal={Physical review. E},
  year={2019},
  volume={100 5-1},
  pages={
          052308
        }
}
  • Joaquín Calatayud, Rubén Bernardo-Madrid, +2 authors Martin Rosvall
  • Published 2019
  • Computer Science, Physics, Medicine
  • Physical review. E
  • To understand how a complex system is organized and functions, researchers often identify communities in the system's network of interactions. Because it is practically impossible to explore all solutions to guarantee the best one, many community-detection algorithms rely on multiple stochastic searches. But for a given combination of network and stochastic algorithms, how many searches are sufficient to find a solution that is good enough? The standard approach is to pick a reasonably large… CONTINUE READING
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