Analysis of a Growth Model for Idiotypic Networks

  • Emma Hart
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4163)


This paper presents an analysis of the global physical properties of an idiotypic network, using a growth model with complete dynamics. Detailed studies of the properties of idiotypic networks are valuable as one the one hand they offer a potential explanation for immunological memory, and on the other have been used by engineers in application of AIS to a range of diverse applications. The properties of both homogeneous and heterogeneous networks resulting from the model in an integer-valued shape-space are analysed and compared. In addition, the results are contrasted to those obtained using other generic growth models found in the literature which have been proposed to explain the structure and growth of biological networks, and also make a useful addition to previous published results obtained in alternative shape-spaces. We find a number of both similarities and differences with other growth models that are worthy of further study.


Growth Model Degree Distribution Biological Network Heterogeneous Network Preferential Attachment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Emma Hart
    • 1
  1. 1.School of ComputingNapier University 

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