Abstract
The complex network theory has lately drawn considerable attention, because it can successfully describe the properties of many networks found in nature. In this paper, we perform the immunity-based diagnostic model on complex networks, namely, small-world networks and scale-free networks. For the distributed diagnosis, the number of nodes on large-scale networks has little effect on the diagnosis capability. In addition, some results show the performance of the diagnosis model depends on the number of links and the average path length. The results can give us valuable knowledge to incorporate the immunity-based diagnosis into real complex networks.
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Watanabe, Y., Ishida, Y. (2007). Performance Evaluation of Immunity-Based Diagnosis on Complex Networks. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_103
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DOI: https://doi.org/10.1007/978-3-540-74829-8_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74828-1
Online ISBN: 978-3-540-74829-8
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