Banerjee (2012). Topological Stability and Dynamic Resilience in Complex Networks


Notes:

p.3: Cut-stability concerns a network’s ability to resist being broken into pieces. Connection-stability concerns a network’s ability to resist the spread of viral processes — Highlighted Jan 10, 2016

p.3: These two forms of stability are antagonistic. — Highlighted Jan 10, 2016

p.3: multi-agent framework, Probabilistic Network Models — Highlighted Jan 10, 2016

p.17: But the internet is PEOPLE! — Written Jan 10, 2016

p.17: Is the Internet stable? My conjecture is ‘No’. My argument begins by asserting that two forms of stability occur in any networked system such as the Internet: cut-stability and connection-stability. These two forms of stability can be defined without assuming any particular model of network connectivity. Finally, I contend, that these two forms of stability are antagonistic. It is impossible to design an Internet architecture that would be — Highlighted Jan 10, 2016

p.18: simultaneously fully attack and error tolerant (cut-stable) and also maximally resistant to viruses (connection-stable) 2 . — Highlighted Jan 10, 2016

p.19: cut-stability and connection-stability in networks — Highlighted Jan 10, 2016

p.19: From these two concepts, we derive a third concept, balanced stability. — Highlighted Jan 10, 2016

p.22: Application for Trolls/Hate culture cutting connections or pushing people out of networks? — Written Jan 10, 2016

p.26: Analogous to community connectors / catalysts — Written Jan 10, 2016

p.26: In ecosystems, keystone species9 various parts of an ecosystem. In the Internet, certain sites or certain parts of the Internet backbone play the same hub-like role — Highlighted Jan 10, 2016

p.27: To a biologist, development and evolution are processes of irreversible change; the former occurring within individual organisms and the latter occurring across ancestor-descendant lineages — Highlighted Jan 30, 2016

p.28: The low level mechanisms, the protocols on which the Internet runs, are ultimately products of design. However, the uses of those protocols in a distributed a priori a posteriori exploration. setting are less a case of design and more reflective of — Highlighted Jan 30, 2016

p.82: An ecosystem with very few interactions, say a food chain, can be bro ken due to any disruption of the chain (it is not cut-stable). An ecosystem with a large number of species as alternative food sources, can be disrupted by the rapid dissemination of a toxin or disease that can be transferred across species (it is not connection-stable). Any real ecosystem is subject to a wide range of perturbations, which implies that it must balance between cut-stability and connection-stability, having intermediate levels of both — Highlighted Jan 30, 2016

p.128: Probabilistic Network Models (PNMs) — Highlighted Jan 30, 2016

p.128: PNMs allows us to do two things. First, going from biology to computer science, they allow us to abstract from biological processes and mechanisms to computational models that can be applied to distributed message passing systems. Secondly, going from computer science to biology, they provide us with a computational modelling framework in which to develop theoretical models of biological processes. Ideally, such models are constructed so they can be tied to experimental data on the structure and likelihood of different kinds of signalling based interactions in biology — Highlighted Jan 30, 2016

p.128: systems as disparate as computer networks and cells in a tissue can both be viewed in the abstract as distributed message passing systems, where the dynamics of the system are tied to the types, initial distribution, and responses to messages received; be the messages bits passed through a wire or chemicals bound at a cell surface — Highlighted Jan 30, 2016


See Also