Can One Hear the Position of Nodes?

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Wave propagation through nodes and links of a network forms the basis of spectral graph theory. Nevertheless, the sound emitted by nodes within the resonating chamber formed by a network are not well studied. The sound emitted by vibrations of individual nodes reflects the structure of the overall network topology but also the location of the node within the network. In this article a sound recognition neural network is trained to infer centrality measures from the nodes’ wave-forms. In addition to advancing network representation learning, sounds emitted by nodes are plausible in most cases. Auralization of the network topology may open new directions in arts, competing with network visualization.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications XI - Proceedings of The 11th International Conference on Complex Networks and Their Applications
Subtitle of host publicationCOMPLEX NETWORKS 2022—Volume 2
EditorsHocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Micciche
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783031211300
StatePublished - 1 Jan 2023
Event11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 - Palermo, Italy
Duration: 8 Nov 202210 Nov 2022

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503


Conference11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022


  • Auralization
  • Centrality
  • Deep learning
  • Diffusion

ASJC Scopus subject areas

  • Artificial Intelligence


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