Mixing local and global information for community detection in large networks

@article{Meo2014MixingLA,
  title={Mixing local and global information for community detection in large networks},
  author={P. D. Meo and Emilio Ferrara and G. Fiumara and A. Provetti},
  journal={J. Comput. Syst. Sci.},
  year={2014},
  volume={80},
  pages={72-87}
}
  • P. D. Meo, Emilio Ferrara, +1 author A. Provetti
  • Published 2014
  • Computer Science, Physics, Mathematics
  • J. Comput. Syst. Sci.
  • Clustering networks play a key role in many scientific fields, from Biology to Sociology and Computer Science. Some clustering approaches are called global because they exploit knowledge about the whole network topology. Vice versa, so-called local methods require only a partial knowledge of the network topology. Global approaches yield accurate results but do not scale well on large networks; local approaches, vice versa, are less accurate but computationally fast. We propose CONCLUDE (COmplex… CONTINUE READING
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