Performance evaluation of immunity-based diagnosis on complex networks

  • Authors:
  • Yuji Watanabe;Yoshiteru Ishida

  • Affiliations:
  • Graduate School of Natural Sciences, Nagoya City University, Nagoya, Aichi, Japan;Dept. of Knowledge-based Information Eng., Toyohashi University of Technology, Toyohashi, Aichi, Japan

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.