Sensing Enhancement on Complex Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Previous work has shown that communication between agents with some preference towards adopting the majority opinion can enhance the quality of error-prone individual sensing from dynamic environments. In this paper, we compare the potential of different types of complex networks for such sensing enhancement. Numerical simulations on complex networks are complemented by a mean-field approach for limited connectivity that captures essential trends in dependencies. Our results show that whilst bestowing advantages on a small group of agents degree heterogeneity tends to impede overall sensing enhancement, while clustering and spatial structure play a more nuanced role depending on overall connectivity. We find that for low connectivity sensing enhancement is maximised by random regular networks, whereas for large connectivity best sensing enhancement is found for ring graphs.
Original languageEnglish
Title of host publicationComplex Networks Their Applications X
Subtitle of host publicationVolume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
EditorsRosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo
Place of PublicationCham
PublisherSpringer International Publishing Switzerland
Number of pages12
ISBN (Electronic)978-3-030-93413-2
ISBN (Print)978-3-030-93415-6, 978-3-030-93412-5
Publication statusPublished - 1 Jan 2022
EventThe 10th International Conference on Complex Networks and their Applications - Madrid, Spain
Duration: 30 Nov 20212 Dec 2021
Conference number: 10

Publication series

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


ConferenceThe 10th International Conference on Complex Networks and their Applications
Abbreviated titleComplex Networks 2021
Internet address

Keywords / Materials (for Non-textual outputs)

  • complex networks
  • opinion dynamics
  • sensing enhancement


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