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Title: Organization and evolution of synthetic idiotypic networks. Author: Agliari E, Asti L, Barra A, Ferrucci L. Journal: Phys Rev E Stat Nonlin Soft Matter Phys; 2012 May; 85(5 Pt 1):051909. PubMed ID: 23004790. Abstract: We introduce a class of weighted graphs whose properties are meant to mimic the topological features of idiotypic networks, namely, the interaction networks involving the B core of the immune system. Each node is endowed with a bit string representing the idiotypic specificity of the corresponding B cell, and the proper distance between any couple of bit strings provides the coupling strength between the two nodes. We show that a biased distribution of the entries in bit strings can yield fringes in the (weighted) degree distribution, small-world features, and scaling laws, in agreement with experimental findings. We also investigate the role of aging, thought of as a progressive increase in the degree of bias in bit strings, and we show that it can possibly induce mild percolation phenomena, which are investigated too.[Abstract] [Full Text] [Related] [New Search]