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Characterizing topological and dynamical properties of complex networks without border effects

Author

Listed:
  • Viana, Matheus Palhares
  • Travençolo, Bruno A.N.
  • Tanck, Esther
  • Costa, Luciano da Fontoura

Abstract

The properties of complex networks are highly influenced by border effects frequently found as a consequence of the finite nature of real-world networks as well as network sampling. Therefore, it becomes critical to devise effective means for sound estimation of network topological and dynamical properties while avoiding these types of artifacts. In the current work, an algorithm for minimization of border effects is proposed and discussed, and its potential is illustrated with respect to two real-world networks, namely bone canals and air transportation.

Suggested Citation

  • Viana, Matheus Palhares & Travençolo, Bruno A.N. & Tanck, Esther & Costa, Luciano da Fontoura, 2010. "Characterizing topological and dynamical properties of complex networks without border effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1771-1778.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:8:p:1771-1778
    DOI: 10.1016/j.physa.2009.12.037
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    Cited by:

    1. Amancio, Diego R. & Nunes, Maria G.V. & Oliveira, Osvaldo N. & Costa, Luciano da F., 2012. "Extractive summarization using complex networks and syntactic dependency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1855-1864.
    2. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.

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