 Simplicity in Complex Spatial SystemsAura Reggiani () and Peter Nijkamp Chapter Chapter 1 in Complexity and Spatial Networks, 2009, pp 1-7 from Springer Abstract: Abstract In the past decade, complexity has become an important and fascinating domain for advanced research on nonlinear dynamics, in which a multiplicity of scientific fields are involved (physics, life sciences, social sciences, economics, geography, and so forth). Complex systems analysis refers to research at the dynamic interface of – or the interaction between – small or micro-elements of a system that are interconnected and determine a macro-level of operation of the system that is not just the sum of the micro-elements. As a result of self-organizing forces among interacting micro-units, a dynamic network configuration may emerge that displays its own dynamics, ranging from “butterfly” effects to scale-free evolution, or from bifurcations with unexpected phase transitions to preferential attachment in small-world networks (see Barabási and Albert 1999; Nicolis and Nicolis 2007). The complexity movement has also had far-reaching impacts on dynamics research in the spatial sciences. Keywords: Preferential Attachment; Kolmogorov Complexity; Spatial System; Spatial Economic; Spatial Interaction Model (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-642-01554-0_1 Ordering information: This item can be ordered from DOI: 10.1007/978-3-642-01554-0_1 Access Statistics for this chapter More chapters in Advances in Spatial Science from Springer |
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