networks and network weaving
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networks and network weaving
How networks can transform our world
Curated by june holley
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Complexity and Society :: About us

For our vision, The Institute for Research in Complexity and Society is dedicated to applying insights from the study of complexity science to social problems faced by the world community. What is unique about our institute is that we address these issues in a manner that is rigorous theoretically, is supported empirically, and applied pragmatically. That is why we bring together scientists, mathematicians, practitioners, organizational leaders, and technological pioneers in a collaborative setting unhampered by the downsides of traditional academic and government organizational cultures. 

 Our mission is to engage with communities of practice, small and large organizations, and social enterprises directly, and to do so in ways that improve their effectiveness and at the same time further the development of theory and research methods generalizable to in other milieus as a means to further the accumulation and measurement of social value.

Via Steve Wilhite
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Complexity Theory: A short film (5')

A short film about complexity theory and the shift in paradigm from the Newtonian clockwork universe to complex systems. Enjoy : ) From http://www.fotonlabs.com

Via Philippe Vallat, Complexity Digest
Philippe Vallat's curator insight, January 14, 2015 10:47 AM

Nicely done

Leadership Learning Community's curator insight, January 23, 2015 11:31 AM

Visualizes complex systems and networks in a powerful way, brings clarity and a much deeper understanding to very abstract concepts

Jamie Billingham's curator insight, February 25, 2015 12:24 AM

Learning and the education system(s) are incredibly complex. 

 

Rescooped by june holley from Papers
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Fast and slow thinking -- of networks: The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks

Fast and slow thinking -- of networks: The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks | networks and network weaving | Scoop.it

Complex systems may have billion components making consensus formation slow and difficult. Recently several overlapping stories emerged from various disciplines, including protein structures, neuroscience and social networks, showing that fast responses to known stimuli involve a network core of few, strongly connected nodes. In unexpected situations the core may fail to provide a coherent response, thus the stimulus propagates to the periphery of the network. Here the final response is determined by a large number of weakly connected nodes mobilizing the collective memory and opinion, i.e. the slow democracy exercising the 'wisdom of crowds'. This mechanism resembles to Kahneman's "Thinking, Fast and Slow" discriminating fast, pattern-based and slow, contemplative decision making. The generality of the response also shows that democracy is neither only a moral stance nor only a decision making technique, but a very efficient general learning strategy developed by complex systems during evolution. The duality of fast core and slow majority may increase our understanding of metabolic, signaling, ecosystem, swarming or market processes, as well as may help to construct novel methods to explore unusual network responses, deep-learning neural network structures and core-periphery targeting drug design strategies.

 (Illustrative videos can be downloaded from here:this http URL)

 

Fast and slow thinking -- of networks: The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks
Peter Csermely

http://arxiv.org/abs/1511.01238 ;


Via Complexity Digest
Complexity Digest's curator insight, November 18, 2015 6:13 PM

See Also: http://networkdecisions.linkgroup.hu 

António F Fonseca's curator insight, November 23, 2015 3:30 AM

Interesting  paper about fast cores and slow periphery,  conflict in the elite vs democratic consensus.

Marcelo Errera's curator insight, November 24, 2015 11:32 AM

Yes, there must be few fasts and many slows.  It's been predicted by CL in many instances.

 

http://www.researchgate.net/publication/273527384_Constructal_Law_Optimization_as_Design_Evolution