Using graph concepts to understand the organization of complex systems

by: Claire Christensen, Reka Albert

(27 Sep 2006)

View FullText article

arXiv (abstract), arXiv (PDF)

Reviews [Write a review of this article]

There are no reviews of this article

Find related articles from these CiteULike users

ansobol, cgershen, gane5h, bigbossman

Find related articles with these CiteULike tags

complex, fractals, graph, graphs, network, networks

Abstract

Complex networks are universal, arising in fields as disparate as sociology, physics, and biology. In the past decade, extensive research into the properties and behaviors of complex systems has uncovered surprising commonalities among the topologies of different systems. Attempts to explain these similarities have led to the ongoing development and refinement of network models and graph-theoretical analysis techniques with which to characterize and understand complexity. In this tutorial, we demonstrate through illustrative examples, how network measures and models have contributed to the elucidation of the organization of complex systems.

@misc{citeulike:876058, abstract = {Complex networks are universal, arising in fields as disparate as sociology, physics, and biology. In the past decade, extensive research into the properties and behaviors of complex systems has uncovered surprising commonalities among the topologies of different systems. Attempts to explain these similarities have led to the ongoing development and refinement of network models and graph-theoretical analysis techniques with which to characterize and understand complexity. In this tutorial, we demonstrate through illustrative examples, how network measures and models have contributed to the elucidation of the organization of complex systems.}, author = {Christensen, Claire and Albert, Reka }, citeulike-article-id = {876058}, eprint = {q-bio.OT/0609036}, keywords = {complex, fractals, graphs}, month = {Sep}, posted-at = {2007-02-23 21:02:06}, priority = {0}, title = {Using graph concepts to understand the organization of complex systems}, url = {http://arxiv.org/abs/q-bio.OT/0609036}, year = {2006} }

RIS record

TY - ELEC ID - citeulike:876058 L3 - citeulike-article-id:876058 TI - Using graph concepts to understand the organization of complex systems N2 - Complex networks are universal, arising in fields as disparate as sociology, physics, and biology. In the past decade, extensive research into the properties and behaviors of complex systems has uncovered surprising commonalities among the topologies of different systems. Attempts to explain these similarities have led to the ongoing development and refinement of network models and graph-theoretical analysis techniques with which to characterize and understand complexity. In this tutorial, we demonstrate through illustrative examples, how network measures and models have contributed to the elucidation of the organization of complex systems. KW - complex KW - fractals KW - graphs AU - Christensen, Claire AU - Albert, Reka PY - 2006/Sep/27/ UR - http://arxiv.org/abs/q-bio.OT/0609036 ER -

RIS BibTeX