Epidemic spreading in scale-free networks.

Population dynamics and mutualism: functional responses of benefits and costs. Simple prediction of interaction strengths in complex food webs. An Introduction to Systems Biology: Design Principles of Biological Circuits (CRC Press, 2006)īerlow, E. Constructing minimal models for complex system dynamics. 650 (Springer Science & Business Media, 2004)īarzel, B. Statistical mechanics of complex networks. Complexity and fragility in ecological networks. Quantifying the connectivity of a network: the network correlation function method. The general problem of the stability of motion. Thresholds and breakpoints in ecosystems with a multiplicity of stable states.

Resilience in the dynamics of economy-environment systems. Self-organized patchiness in asthma as a prelude to catastrophic shifts. Resilience of the internet to random breakdown. The analytical results unveil the network characteristics that can enhance or diminish resilience, offering ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes.Ĭohen, R., Erez, K., Ben-Avraham, D.

The proposed analytical framework allows us systematically to separate the roles of the system’s dynamics and topology, collapsing the behaviour of different networks onto a single universal resilience function.

Here we bridge this theoretical gap by developing a set of analytical tools with which to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensional dynamics that accurately predict the system’s resilience. These limitations are rooted in a theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components 7, and is unsuitable for multi-dimensional systems consisting of a large number of components that interact through a complex network. Despite widespread consequences for human health 2, the economy 3 and the environment 4, events leading to loss of resilience-from cascading failures in technological systems 5 to mass extinctions in ecological networks 6-are rarely predictable and are often irreversible. Resilience, a system’s ability to adjust its activity to retain its basic functionality when errors, failures and environmental changes occur, is a defining property of many complex systems 1.

Network topology in hindi pdf