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Complexity - Complex Systems Theory
Complex systems present problems both in mathematical modelling and philosophical foundations. The study of complex systems represents a new approach to science that investigates how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment. The equations from which models of complex systems are developed generally derive from statistical physics, information theory and non-linear dynamics, and represent organized but unpredictable behaviors of natural systems that are considered fundamentally complex. wikipedia (en)
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Common scaling laws for city highway systems and the mammalian neocortex - Changizi - 2009 - Complexity - Wiley Online Library

Common scaling laws for city highway systems and the mammalian neocortex - Changizi - 2009 - Complexity - Wiley Online Library | Complexity - Complex Systems Theory | Scoop.it

Changizi, M. A. and Destefano, M. (2010), Common scaling laws for city highway systems and the mammalian neocortex. Complexity, 15: 11–18. doi: 10.1002/cplx.20288

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Eli Levine's curator insight, February 19, 1:01 PM

Could you imagine if we're able to mimic our social/constructed systems upon our natural/organic systems?  Imagine if we could discover the natural laws that shape our world and then make our world be in conformity with these natural, discovered laws (as opposed to our abstracted, imaginatively created laws.

 

Think about it!

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On the Topology of the Facebook Page Network

The Facebook Page Network (FPN) is a platform for Businesses, Public Figures and Organizations (BPOs) to connect with individuals and other BPOs in the digital space. For over a decade scale-free networks have most appropriately described a variety of seemingly disparate physical, biological and social real-world systems unified by similar network properties such as scale-invariance, growth via a preferential attachment mechanism, and a power law degree distribution P(k) = ck^-{\lambda} where typically 2<{\lambda}<3. In this paper we show that both the Facebook Page Network and its BPO-BPO subnetwork suggest power law and scale-free characteristics. We argue that social media analysts must consider the logarithmic and non-linear properties of social media audiences of scale.

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