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一种关于独特型网络中事件统计的简单模型。

A simple model for the statistics of events in idiotypic networks.

作者信息

Bonabeau E

机构信息

France Telecom CNET Lannion B-RIO/TNT, France.

出版信息

Biosystems. 1996;39(1):25-34. doi: 10.1016/0303-2647(95)01575-2.

Abstract

A simple random graph model of idiotypic networks is introduced: this model allows (1) to evaluate the stability of the network dynamics' fixed points, and (2) to compute the statistics of events triggered in response to the arrival of new molecules (metadynamics) using a dynamic mean-field approximation based on the theory of branching processes. It is shown that (1) the network dynamics is unlikely to have many stable fixed points in a strict sense, but that (2) the reorganizations which the network undergoes owing to the metadynamics are always subcritical if plausible figures are injected into the model. In other words the distance between successive (unstable or weakly stable) fixed points is relatively small, so that the overall behavior is stable.

摘要

引入了一种独特型网络的简单随机图模型

该模型能够(1)评估网络动力学不动点的稳定性,以及(2)基于分支过程理论,使用动态平均场近似来计算响应新分子(元动力学)到达而触发的事件统计量。结果表明,(1)严格来说,网络动力学不太可能有许多稳定的不动点,但是(2)如果将合理的数据注入模型,网络因元动力学而经历的重组总是亚临界的。换句话说,连续(不稳定或弱稳定)不动点之间的距离相对较小,因此整体行为是稳定的。

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