Special Online Collection: Complex Systems and Networks

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complexity In the 24 July 2009 issue, Science highlights how network analysis is allowing us to understand how the world works from new vantage points. Perspective articles examine the foundations of network analysis and its applications across disciplinary fields from economics to ecology; News stories look at the use of network tools to study social phenomena; and a Review article explains how molecular biologists are using networks to analyze basic cellular circuitry. Science Careers highlights careers in network science and the 28 July issue of Science Signaling delves into the dynamics of cell signaling networks.

In Science

INTRODUCTION

Connections
Barbara R. Jasny, Laura M. Zahn, Eliot Marshall

NEWS

Ourselves and Our Interactions: The Ultimate Physics Problem? (Science Podcast)
Adrian Cho
Econophysics: Still Controversial After All These Years.
Adrian Cho
Counterterrorism's New Tool: 'Metanetwork' Analysis
John Bohannon
Investigating Networks: The Dark Side
John Bohannon

PERSPECTIVES

Scale-Free Networks: A Decade and Beyond
Albert-L. Barabási
Revisiting the Foundations of Network Analysis
Carter T. Butts

PERSPECTIVES

Disentangling the Web of Life
Jordi Bascompte
A General Framework for Analyzing Sustainability of Social-Ecological Systems
Elinor Ostrom
Economic Networks: The New Challenges
Frank Schweitzer, Giorgio Fagiolo, Didier Sornette, Fernando Vega-Redondo, Alessandro Vespignani, Douglas R. White
Predicting the Behavior of Techno-Social Systems
Alessandro Vespignani

REVIEW

Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
Harold D. Kim, Tal Shay, Erin K. O'Shea, Aviv Regev

SEE ALSO

Policy Forum: Can We Reinvent the Internet?
Viktor Mayer-Schönberger

In Science Signaling

EDITORIAL GUIDE

Focus Issue: Unraveling Signaling Complexity  >
Nancy R. Gough and John F. Foley
Dynamics adds to the complexity of signaling networks.

RESEARCH ARTICLES

Cell Type—Specific Importance of Ras—c-Raf Complex Association Rate Constants for MAPK Signaling
Christina Kiel and Luis Serrano
Ras—c-Raf association rates affect downstream signaling in the absence of negative feedback but not its presence.
Comparative Analysis Reveals Conserved Protein Phosphorylation Networks Implicated in Multiple Diseases
Chris Soon Heng Tan, Bernd Bodenmiller, Adrian Pasculescu, Marko Jovanovic, Michael O. Hengartner, Claus Jørgensen, Gary D. Bader, Ruedi Aebersold, Tony Pawson, and Rune Linding
Comparing the human phosphoproteome to that of flies, worms, and yeast reveals insight into evolution and disease.
Integrating Proteomic, Transcriptional, and Interactome Data Reveals Hidden Components of Signaling and Regulatory Networks
Shao-shan Carol Huang and Ernest Fraenkel
Analysis of multiple "omic" data sets with a prize-collecting Steiner tree algorithm reveals components of signaling networks that are not obvious by analyzing the data individually.

PERSPECTIVES

Understanding Modularity in Molecular Networks Requires Dynamics
Roger P. Alexander, Philip M. Kim, Thierry Emonet, and Mark B. Gerstein
Understanding Modularity in Molecular Networks Requires Dynamics
Proteomic Revelation: SUMO Changes Partners When the Heat Is On
Karin Flick and Peter Kaiser
A system-level view of SUMOylation dynamics shows the importance of SUMOylation to the heat shock response.
The Complexity of Cell Signaling and the Need for a New Mechanics
William S. Hlavacek and James R. Faeder
Studies that make sense of protein networks provide approaches to cope with complex signaling pathways.
Dynamic Advances in NF-κB Signaling Analysis
Taeko Kobayashi and Ryoichiro Kageyama
Cytokine stimulation of cells at different time intervals produces distinct patterns of NF-κB–dependent gene transcription.

PODCAST

Science Signaling Podcast: 28 July 2009
Michael B. Yaffe and Annalisa M. VanHook
Science Signaling's Chief Scientific Editor discusses complexity in signaling networks.

In Science Careers

CAREER ADVICE

Tangled Webs: Careers in Network Science  >
Siri Carpenter
The booming science of networks reveals hidden connections in just about everything.