Randomly Evolving Idiotypic Networks: Structural Properties and Architecture
Holger Schmidtchen, Mario Th\"une, and Ulrich Behn

TL;DR
This paper models the idiotypic network of B-lymphocytes as a dynamic, evolving graph with nodes representing lymphocyte populations, revealing how complex organized patterns emerge from simple rules and parameters.
Contribution
It introduces a minimalistic, dynamic model of B-lymphocyte networks that analytically explains the emergence of organized patterns and their structural properties.
Findings
Networks evolve into organized patterns with distinct node groups
Analytical formulas for group sizes and link counts are derived
Patterns observed in simulations match analytical predictions
Abstract
We consider a minimalistic dynamic model of the idiotypic network of B-lymphocytes. A network node represents a population of B-lymphocytes of the same specificity (idiotype), which is encoded by a bitstring. The links of the network connect nodes with complementary and nearly complementary bitstrings, allowing for a few mismatches. A node is occupied if a lymphocyte clone of the corresponding idiotype exists, otherwise it is empty. There is a continuous influx of new B-lymphocytes of random idiotype from the bone marrow. B-lymphocytes are stimulated by cross-linking their receptors with complementary structures. If there are too many complementary structures, steric hindrance prevents cross-linking. Stimulated cells proliferate and secrete antibodies of the same idiotype as their receptors, unstimulated lymphocytes die. Depending on few parameters, the autonomous system evolves…
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