INFERENCE, SIMULATION, MODELING, AND ANALYSIS OF COMPLEX NETWORKS, WITH SPECIAL EMPHASIS ON COMPLEX NETWORKS IN SYSTEMS BIOLOGY (2007)
BibTeX
@MISC{Christensen07inference,simulation,,
author = {Claire Petra Christensen},
title = {INFERENCE, SIMULATION, MODELING, AND ANALYSIS OF COMPLEX NETWORKS, WITH SPECIAL EMPHASIS ON COMPLEX NETWORKS IN SYSTEMS BIOLOGY },
year = {2007}
}
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Abstract
Across diverse fields ranging from physics to biology, sociology, and economics, the technological advances of the past decade have engendered an unprecedented explosion of data on highly complex systems with thousands, if not millions of interacting components. These systems exist at many scales of size and complexity, and it is becoming ever-more apparent that they are, in fact, universal, arising in every field of study. Moreover, they share fundamental properties—chief among these, that the individual interactions of their constituent parts may be well-understood, but the characteristic behaviour produced by the confluence of these interactions — by these complex networks-- is unpredictable; in a nutshell, the whole is more than the sum of its parts. There is, perhaps, no better illustration of this concept than the discoveries being made regarding complex networks in the biological sciences. In particular, though the sequencing of the human genome in 2003 was a remarkable feat, scientists understand
Keyphrases
complex system analysis complex network computational physic complex network characteristic behaviour constituent part unprecedented explosion remarkable feat biological science individual interaction ii across diverse field human genome technological advance ever-more apparent many scale share fundamental property past decade
