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The Web's Hidden Order
© 2001, ACM
Inc.
Reprinted from Communications of the ACM
Vol. 44, No. 9 (September 2001)
by Lada A. Adamic and Bernardo A. Huberman, Information Dynamics
Lab, HP Labs
Web site growth and popularity actually follow rules that can be
explained mathematically and are useful for predicting the Web's
future behavior.
Read the full paper here. Requires
Adobe
Acrobat.
About the Authors:
Lada A. Adamic is a researcher in the Information Dynamics
group at Hewlett-Packard Labs. She has a PhD in Applied Physics
from Stanford University. During the past few years, she has studied
Internet phenomena from a physicist's perspective. These phenomena
range from the numerous power laws observed on the Web to its small
world properties.
Bernardo A. Huberman is an HP
Fellow and director of the Information Dynamics Lab at Hewlett-Packard
Laboratories. He is one of the discoverers of chaos in a number
of physical systems, and also established a number of universal
properties in nonlinear dynamical systems. His research into the
dynamics of complex structures led to his discovery of ultradiffusion
in hierarchical systems.
In the field of information sciences, Huberman predicted the existence
of phase transitions in artificial intelligence and large scale
distributed systems, and developed an economics approach to the
solution of hard computational problems. One of the creators of
the field of ecology of computation, Huberman recently published
the book "The Laws of the Web: Patterns in the Ecology of Information" with
MIT Press.
Recently, his research has concentrated on the design of novel mechanisms
for harvesting knowledge and preserving privacy in the World Wide
Web, as well as the use of economics for forecasting future outcomes
in organizational settings.
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