Resilience and robustness of networks


"Sloppy" models in systems biology. The concept is slightly different from directly considering, say, the robustness of the network to removal, but the result is similar: if you change the parameters of the coupled system, for example a gene regulatory network, or remove elements, the system will typically perform the same function. pdf PLoS link.


Multiple interacting networks




Cognitive Maps

Cognitive maps are cyclic, directed graphs in which edges that originate and terminate in the same node are permitted. The edges are typically interpreted as causal relationships between nodes, with the sign (+/-) indicating the type of causation (increase/decrease). Edge weights in binary cognitive maps are -1 or 1. In a fuzzy cognitive map the weights are chosen from the interval (-1,1). Cognitive maps were introduced (in binary form) by Axelrod in his classic (Axelrod, 1976) book on decision making by political elites. Kosko (1986) extended the cognitive map concept by allowing fuzzy edge weights. Taber's (1991) paper is a widely cited early example of FCM analysis. The paper by Ozesmi & Ozesmi (2004) gives a comprehensive account of the application of the method in the context of environmental management and cooperative decision making.