Network Structures in Biological Systems and in Human Society

Network Structures in Biological Systems and in Human Society PDF Author: Alexander V. Oleskin
Publisher: Nova Science Publishers
ISBN: 9781628085099
Category : Biological systems
Languages : en
Pages : 0

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Book Description
This book focuses on network structures in biological systems and in human society. The term "network structure" is used in literature with at least two different meanings. The broader meaning (denoted by this author as a network sensu lato) refers to any system composed of nodes (vertices) connected by links (edges). In terms of this interpretation, the analytical tools that deal with centrality measures, clustering, and community structure-related criteria, small-world behaviour, and other network characteristics have provided important insights into the organisation and functioning of various objects, including biological systems and human society. However, there is a narrower interpretation of the term "network" that is predominantly used in the social sciences: a network structure is a decentralised, non-hierarchical system that is regulated by co-operative interactions among its nodes (a network sensu stricto. In this work, the term "networks" is interpreted in the latter sense. The characteristics of a network's organisational situation are considered in this work in comparison to other types of structures that are denoted as (1) hierarchical (vertical, pyramidal) structures characterised by a single dominant activity centre (central leader, pacemaker); and (2) (quasi-)market structures dominated by competitive, rather than co-operative, interactions among the actors involved. This is an interdisciplinary work because the three organisational structures are considered with respect to biological systems and to human society, including its political system.

Network Structures in Biological Systems and in Human Society

Network Structures in Biological Systems and in Human Society PDF Author: Alexander V. Oleskin
Publisher: Nova Science Publishers
ISBN: 9781628085099
Category : Biological systems
Languages : en
Pages : 0

Get Book Here

Book Description
This book focuses on network structures in biological systems and in human society. The term "network structure" is used in literature with at least two different meanings. The broader meaning (denoted by this author as a network sensu lato) refers to any system composed of nodes (vertices) connected by links (edges). In terms of this interpretation, the analytical tools that deal with centrality measures, clustering, and community structure-related criteria, small-world behaviour, and other network characteristics have provided important insights into the organisation and functioning of various objects, including biological systems and human society. However, there is a narrower interpretation of the term "network" that is predominantly used in the social sciences: a network structure is a decentralised, non-hierarchical system that is regulated by co-operative interactions among its nodes (a network sensu stricto. In this work, the term "networks" is interpreted in the latter sense. The characteristics of a network's organisational situation are considered in this work in comparison to other types of structures that are denoted as (1) hierarchical (vertical, pyramidal) structures characterised by a single dominant activity centre (central leader, pacemaker); and (2) (quasi-)market structures dominated by competitive, rather than co-operative, interactions among the actors involved. This is an interdisciplinary work because the three organisational structures are considered with respect to biological systems and to human society, including its political system.

Handbook on Biological Networks

Handbook on Biological Networks PDF Author: Stefano Boccaletti
Publisher: World Scientific
ISBN: 9812838791
Category : Science
Languages : en
Pages : 465

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Book Description
Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research ? the study of complex networks. In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology.

Networks of Networks in Biology

Networks of Networks in Biology PDF Author: Narsis A. Kiani
Publisher: Cambridge University Press
ISBN: 1108428878
Category : Computers
Languages : en
Pages : 215

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Book Description
Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Aquatic Food Webs

Aquatic Food Webs PDF Author: Andrea Belgrano
Publisher: Oxford University Press, USA
ISBN: 0198564821
Category : Science
Languages : en
Pages : 274

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Book Description
'Aquatic Food Webs' provides a current synthesis of theoretical and empirical food web research. The textbook is suitable for graduate level students as well as professional researchers in community, ecosystem, and theoretical ecology, in aquatic ecology, and in conservation biology.

Complex Systems Science in Biomedicine

Complex Systems Science in Biomedicine PDF Author: Thomas Deisboeck
Publisher: Springer Science & Business Media
ISBN: 0387335323
Category : Medical
Languages : en
Pages : 857

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Book Description
Complex Systems Science in Biomedicine Thomas S. Deisboeck and J. Yasha Kresh Complex Systems Science in Biomedicine covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine including nonlinear dynamics at the molecular, cellular, multi-cellular tissue, and organismic level. With all chapters helmed by leading scientists in the field, Complex Systems Science in Biomedicine's goal is to offer its audience a timely compendium of the ongoing research directed to the understanding of biological processes as whole systems instead of as isolated component parts. In Parts I & II, Complex Systems Science in Biomedicine provides a general systems thinking perspective and presents some of the fundamental theoretical underpinnings of this rapidly emerging field. Part III then follows with a multi-scaled approach, spanning from the molecular to macroscopic level, exemplified by studying such diverse areas as molecular networks and developmental processes, the immune and nervous systems, the heart, cancer and multi-organ failure. The volume concludes with Part IV that addresses methods and techniques driven in design and development by this new understanding of biomedical science. Key Topics Include: • Historic Perspectives of General Systems Thinking • Fundamental Methods and Techniques for Studying Complex Dynamical Systems • Applications from Molecular Networks to Disease Processes • Enabling Technologies for Exploration of Systems in the Life Sciences Complex Systems Science in Biomedicine is essential reading for experimental, theoretical, and interdisciplinary scientists working in the biomedical research field interested in a comprehensive overview of this rapidly emerging field. About the Editors: Thomas S. Deisboeck is currently Assistant Professor of Radiology at Massachusetts General Hospital and Harvard Medical School in Boston. An expert in interdisciplinary cancer modeling, Dr. Deisboeck is Director of the Complex Biosystems Modeling Laboratory which is part of the Harvard-MIT Martinos Center for Biomedical Imaging. J. Yasha Kresh is currently Professor of Cardiothoracic Surgery and Research Director, Professor of Medicine and Director of Cardiovascular Biophysics at the Drexel University College of Medicine. An expert in dynamical systems, he holds appointments in the School of Biomedical Engineering and Health Systems, Dept. of Mechanical Engineering and Molecular Pathobiology Program. Prof. Kresh is Fellow of the American College of Cardiology, American Heart Association, Biomedical Engineering Society, American Institute for Medical and Biological Engineering.

Handbook on Biological Networks

Handbook on Biological Networks PDF Author: Stefano Boccaletti
Publisher: World Scientific
ISBN: 9812838805
Category : Mathematics
Languages : en
Pages : 465

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Book Description
Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research OCo the study of complex networks . In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology. Sample Chapter(s). Chapter 1: Introduction (61 KB). Contents: Networks at the Cellular Level: The Structural Network Properties of Biological Systems (M Brilli & P Li); Dynamics of Multicellular Synthetic Gene Networks (E Ullner et al.); Boolean Networks in Inference and Dynamic Modeling of Biological Systems at the Molecular and Physiological Level (J Thakar & R Albert); Complexity of Boolean Dynamics in Simple Models of Signaling Networks and in Real Genetic Networks (A D az-Guilera & R ulvarez-Buylla); Geometry and Topology of Folding Landscapes (L Bongini & L Casetti); Elastic Network Models for Biomolecular Dynamics: Theory and Application to Membrane Proteins and Viruses (T R Lezon et al.); Metabolic Networks (M C Palumbo et al.); Brain Networks: The Human Brain Network (O Sporns); Brain Network Analysis from High-Resolution EEG Signals (F De Vico Fallani & F Babiloni); An Optimization Approach to the Structure of the Neuronal layout of C elegans (A Arenas et al.); Cultured Neuronal Networks Express Complex Patterns of Activity and Morphological Memory (N Raichman et al.); Synchrony and Precise Timing in Complex Neural Networks (R-M Memmesheimer & M Timme); Networks at the Individual and Population Levels: Ideas for Moving Beyond Structure to Dynamics of Ecological Networks (D B Stouffer et al.); Evolutionary Models for Simple Biosystems (F Bagnoli); Evolution of Cooperation in Adaptive Social Networks (S Van Segbroeck et al.); From Animal Collectives and Complex Networks to Decentralized Motion Control Strategies (A Buscarino et al.); Interplay of Network State and Topology in Epidemic Dynamics (T Gross). Readership: Advanced undergraduates, graduate students and researchers interested in the study of complex networks in a wide range of biological processes and systems."

Biological Networks

Biological Networks PDF Author: Fran‡ois K‚pŠs
Publisher: World Scientific
ISBN: 981270695X
Category : Science
Languages : en
Pages : 531

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Book Description
This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex system approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.

The Structure of Complex Networks

The Structure of Complex Networks PDF Author: Ernesto Estrada
Publisher: Oxford University Press
ISBN: 019959175X
Category : Computers
Languages : en
Pages : 478

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Book Description
The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.

An Introduction to Systems Biology

An Introduction to Systems Biology PDF Author: Uri Alon
Publisher: CRC Press
ISBN: 1584886420
Category : Mathematics
Languages : en
Pages : 324

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Book Description
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.

The Network Challenge (Chapter 7)

The Network Challenge (Chapter 7) PDF Author: Robert Giegengack
Publisher: Pearson Education
ISBN: 0137015364
Category : Business & Economics
Languages : en
Pages : 42

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Book Description
What can we learn about networks from ants, honeybees, and other animals with evolved social structures? The impact of information and communications strategies on network dynamics did not arrive with the emergence of computers, cell phones, and the Internet. This chapter describes communication networks selected from among many that have been studied in communities of nonhuman organisms. It explores the extent to which communication linkages have controlled the development of those networks. In some of those networks, developmental histories are manifest as evolved body plans and gender roles not represented in human communities. Many of those networks are founded on efficient exchange of information via pathways of which humans are almost fully oblivious.