Dynamics On and Of Complex Networks Applications to Biology, Computer Science, and the Social Sciences /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ganguly, Niloy (Editor), Deutsch, Andreas (Editor), Mukherjee, Animesh (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Birkhäuser Boston, 2009.
• Series: Modeling and Simulation in Science, Engineering and Technology
• Subjects: Computer science.; Computer organization.; Mathematical models.; Biomathematics.; Statistical physics.; Dynamical systems.; Complexity, Computational.; Electrical engineering.; Computer Science.; Computer Systems Organization and Communication Networks.; Statistical Physics, Dynamical Systems and Complexity.; Complexity.; Mathematical and Computational Biology.; Mathematical Modeling and Industrial Mathematics.; Communications Engineering, Networks.

This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. Almost any large-scale system, either naturally occurring or man-made, can be viewed as a complex network of interacting entities dyn...

Table of Contents:

• Biological Sciences
• From Network Structure to Dynamics and Back Again: Relating Dynamical Stability and Connection Topology in Biological Complex Systems
• Regulation of Apoptosis via the NF?B Pathway: Modeling and Analysis
• Network-Based Models in Molecular Biology
• Ecological Networks: Structure, Interaction Strength, and Stability
• Signaling and Feedback in Biological Networks
• Social Sciences
• Topographic Spreading Analysis of an Empirical Sex Workers’ Network
• Spectral Characterization of Network Structures and Dynamics
• Dynamics of Social Complex Networks: Some Insights into Recent Research
• The Structure and Dynamics of Linguistic Networks
• Networks Generated from Natural Language Text
• Information Sciences
• Efficiency of Navigation in Indexed Networks
• Evolution of Apache Open Source Software
• Some New Applications of Network Growth Models
• The Big Friendly Giant: The Giant Component in Clustered Random Graphs
• Technological Networks
• Advances in the Theory of Complex Networks.