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Network Governance and Energy Transitions in European Cities (Routledge Focus on Energy Studies)
by Timea NochtaThis book investigates and evaluates the opportunities and limitations of network governance in building local capacity for energy infrastructure governance. Presenting a comparative analysis of three city cases from across Europe- Birmingham, Frankfurt and Budapest- this book demonstrates how local factors shape the prospect of network governance to support low-carbon energy transitions. It maps out existing governance networks, highlighting the actors involved and their interactions with one another, and also discusses the role and embeddedness of networks in the urban governance of low-carbon energy. Drawing on case study evidence, Nochta develops a comparative analysis which discusses the intricate connections between network characteristics, context and impact. It highlights that organisational fragmentation; the complexity of the low-carbon energy problem and historical developments all influence network characteristics in terms of degree of integration and vertical (hierarchical) power relationships among network actors. Overall, the book concludes that understanding such links between context and networks is crucial when designing and implementing new governance models aimed at facilitating and governing low-carbon urban development. Low-Carbon Energy Transitions in European Cities will be of great interest to scholars of energy policy, urban governance and sustainability transitions.
Network Intelligence Meets User Centered Social Media Networks (Lecture Notes in Social Networks)
by Reda Alhajj H. Ulrich Hoppe Tobias Hecking Piotr Bródka Przemyslaw KazienkoThis edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.
The Network of Life: A New View of Evolution
by David P. MindellWhy evolution is like a network, not a family tree—and why it matters for understanding the health of all living thingsIn The Network of Life, David Mindell explains why the conventional narrative of evolution needs to evolve. Ever since Darwin, evolution has largely been thought to work like a family tree in which species are related through a series of branching events. But, today, a growing knowledge of the ways species share genetic materials in a process known as horizontal evolution has revealed that evolution is actually a network of shared genealogy in which species are more interconnected than previously thought. In this book, Mindell presents this new narrative of life&’s evolution and its profound implications for all life on Earth.The Network of Life describes the drivers of horizontal evolution—interbreeding and genetic recombination, the merger of species, horizontal gene transfer, and coevolution. The network view of evolution that emerges supports a new symbiotic theory of health, which holds that the future health of humans, other species, and our shared environments depends on evolution and adaptation across life&’s network.Difficult times lie ahead for many of Earth&’s species as climates and habitats transform. At the same time, new and altered life-forms are arising and spreading in association with human activities. We are also learning to reshape and create life by mimicking the mechanisms of horizontal evolution, and we are coevolving with technology as we enhance our bodies, brains, and life spans. The Network of Life shows why and how increasing our knowledge of horizontal evolution can provide critical lessons as we navigate our looming challenges.
Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models (Studies in Systems, Decision and Control #251)
by Jan TreurThis book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level. This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-Oriented Modeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is available to run these adaptive network models from their high-level specifications. Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily. For example, this can be applied to model metaplasticity in cognitive neuroscience, or second-order adaptation in biological and social contexts. The book illustrates the usefulness of this approach via numerous examples of complex (higher-order) adaptive network models for a wide variety of biological, mental, and social processes. The book is suitable for multidisciplinary Master’s and Ph.D. students without assuming much prior knowledge, although also some elementary mathematical analysis is involved. Given the detailed information provided, it can be used as an introduction to Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary backgrounds or interests. Lecturers will find additional material such as slides, assignments, and software.
Network Pharmacology
by Shao LiThis book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used. In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied. This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.
Network Reliability in Practice
by David M. Levinson Michael Bell Henry X. LiuThis book contains selected peer-reviewed papers that were presented at the Fourth International Symposium on Transportation Network Reliability (INSTR) Conference held at the University of Minnesota July 22-23, 2010. International scholars, from a variety of disciplines--engineering, economics, geography, planning and transportation--offer varying perspectives on modeling and analysis of the reliability of transportation networks in order to illustrate both vulnerability to day-to-day and unpredictability variability and risk in travel, and demonstrates strategies for addressing those issues. The scope of the chapters includes all aspects of analysis and design to improve network reliability, specifically user perception of unreliability of public transport, public policy and reliability of travel times, the valuation and economics of reliability, network reliability modeling and estimation, travel behavior and vehicle routing under uncertainty, and risk evaluation and management for transportation networks. The book combines new methodologies and state of the art practice to model and address questions of network unreliability, making it of interest to both academics in transportation and engineering as well as policy-makers and practitioners.
Network Science
by Desmond J. Higham Gian-Luca Oppo Ernesto Estrada Maria FoxNetwork Science is the emerging field concerned with the study of large, realistic networks. This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies. This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another. The book includes contributions from an international selection of experts, providing viewpoints from a broad range of disciplines. It emphasizes networks that arise in nature--such as food webs, protein interactions, gene expression, and neural connections--and in technology--such as finance, airline transport, urban development and global trade. Topics and Features: begins with a clear overview chapter to introduce this interdisciplinary field; discusses the classic network science of fixed connectivity structures, including empirical studies, mathematical models and computational algorithms; examines time-dependent processes that take place over networks, covering topics such as synchronisation, and message passing algorithms; investigates time-evolving networks, such as the World Wide Web and shifts in topological properties (connectivity, spectrum, percolation); explores applications of complex networks in the physical and engineering sciences, looking ahead to new developments in the field. Researchers and professionals from disciplines as varied as computer science, mathematics, engineering, physics, chemistry, biology, ecology, neuroscience, epidemiology, and the social sciences will all benefit from this topical and broad overview of current activities and grand challenges in the unfolding field of network science.
Network Science in Cognitive Psychology (Frontiers of Cognitive Psychology)
by Michael S. VitevitchThis volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.
Network Science In Education: Transformational Approaches in Teaching and Learning
by Catherine B. Cramer Mason A. Porter Hiroki Sayama Lori Sheetz Stephen Miles UzzoAround the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network science - the study of connectivity - can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and to its activities - has evolved in response to the escalating activity in the field of network science and the need for people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning appeals to both instructors and professionals, while offering case studies from a wide variety of activities that have been developed around the globe: the creation of entirely new courses and degree programs; tools for K-20 learners, teachers, and the general public; and in-depth analysis of selected programs. As network-based pedagogy and the community of practice continues to grow, we hope that the book's readers will join this vibrant network education community to build on these nascent ideas and help deepen the understanding of networks for all learners.
Networked and Distributed Predictive Control
by David Muñoz de la Peña Jinfeng Liu Panagiotis D. ChristofidesNetworked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems - the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: * new techniques for networked and distributed control system design; * insight into issues associated with networked and distributed predictive control and their solution; * detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and * integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book's methods in greater depth.
Networked Control Under Communication Constraints: A Time-Delay Approach (Advances in Delays and Dynamics #11)
by Kun Liu Emilia Fridman Yuanqing XiaThis book presents a time-delay approach to the analysis and synthesis of networked control systems (NCSs) under communication constraints. Differently from other approaches, the time-delay approach to NCSs allows communication delays to be larger than the sampling intervals in the presence of scheduling protocols. The book starts from a comprehensive introduction to three main approaches to sampled-data and networked control. It then focuses on time-delay approach, and the modelling of the closed-loop systems in the form of time-delay system. It presents discontinuous (in time) Lyapunov functional constructions that are efficient for NCSs in the presence of communications delays. Further, it highlights time-delay approaches developed to model and analyze NCSs under communication constraints, with a particular focus on dynamic quantization, round-robin, try-once-discard and stochastic protocols. The results are first presented for the continuous-time NCSs and then extended to discrete-time NCSs. Discussing recent developments in Lyapunov-based analysis of NCSs under communication constraints, the book is a valuable resource for researchers interested in sampled-data and networked control, and time-delay systems, as well as for graduate students in automatic control and systems theory.
Networked Forces in Stability Operations: 101st Airborne Division, 3/2 and 1/25 Stryker Brigades in Northern Iraq
by John Hollywood Daniel Gonzales James Mcfadden John Dejarnette Jerry M. SollingerCompares three units that conducted stability operations in the same area in northern Iraq-the 101st Airborne Division (which had only limited digital communications), the 3/2 Stryker brigade combat team (SBCT), and the 1/25 SBCT (both equipped with digital networks) and finds that leadership, training, and tactics and procedures are just as important as networking capabilities for improving mission effectiveness in stability operations.
Networked Microgrids
by Peng ZhangDiscover scalable, dependable, and intelligent solutions to the challenges of integrating complex networked microgrids with this definitive guide to the development of cutting-edge power and data systems. Includes advanced fault management control and optimization to enable enhanced microgrid penetration without compromising reliability. Features SDN-based architectures and techniques to enable secure, reliable and fault-tolerant algorithms for resilient networked systems. Provides reachability techniques to facilitate a deeper understanding of microgrid resilience in areas with high penetration of renewables. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students interested in creating the next generation of data-intensive self-configurable networked microgrid systems, smart communities, and smart infrastructure.
Networking for Nerds
by Nobel Laureate Brian Schmidt Alaina G. LevineNetworking for Nerds provides a step-by-step guide to understanding how to access hidden professional opportunities through networking. With an emphasis on practical advice on how and why to network, you will learn how to formulate and execute a strategic networking plan that is dynamic, multidimensional, and leverages social media platforms and other networking channels. An invaluable resource for both established and early-career scientists and engineers (as well as networking neophytes!), Networking for Nerds offers concrete insight on crafting professional networks that are mutually beneficial and support the advancement of both your career goals and your scholarly ambitions. "Networking" does not mean going to one reception or speaking with a few people at one conference, and never contacting them again. Rather, "networking" involves a spectrum of activities that engages both parties, ensures everyone's value is appropriately communicated, and allows for the exploration of a win-win collaboration of some kind. Written by award-winning entrepreneur and strategic career planning expert Alaina G. Levine, Networking for Nerds is an essential resource for anyone working in scientific and engineering fields looking to enhance their professional planning for a truly fulfilling, exciting, and stimulating career. professional planning for a truly fulfilling, exciting, and stimulating career.Networking for Nerds provides a step-by-step guide to understanding how to access hidden professional opportunities through networking. With an emphasis on practical advice on how and why to network, you will learn how to formulate and execute a strategic networking plan that is dynamic, multidimensional, and leverages social media platforms and other networking channels. An invaluable resource for both established and early-career scientists and engineers (as well as networking neophytes!), Networking for Nerds offers concrete insight on crafting professional networks that are mutually beneficial and support the advancement of both your career goals and your scholarly ambitions. "Networking" does not mean going to one reception or speaking with a few people at one conference, and never contacting them again. Rather, "networking" involves a spectrum of activities that engages both parties, ensures everyone's value is appropriately communicated, and allows for the exploration of a win-win collaboration of some kind.</d
The Networking of Chaperones by Co-chaperones
by Gregory Lloyd Blatch Adrienne Lesley EdkinsCo-chaperones are important mediators of the outcome of chaperone assisted protein homeostasis, which is a dynamic balance between the integrated processes of protein folding, degradation and translocation. The Networking of Chaperones by Co-chaperones describes how the function of the major molecular chaperones is regulated by a cohort of diverse non-client proteins, known as co-chaperones. The second edition includes the current status of the field and descriptions of a number of novel co-chaperones that have been recently identified. This new edition has a strong focus on the role of co-chaperones in human disease and as putative drug targets. The book will be a resource for both newcomers and established researchers in the field of cell stress and chaperones, as well as those interested in cross-cutting disciplines such as cellular networks and systems biology.
The Networking of Chaperones by Co-Chaperones (Subcellular Biochemistry #101)
by Adrienne L. Edkins Gregory L. BlatchCo-chaperones are important mediators of the outcome of chaperone assisted protein homeostasis, which is the dynamic integration of the processes of protein folding, degradation and translocation to ensure that cellular function is finely tuned in space and time. This third edition of the book The Networking of Chaperones by Co-chaperones describes how the function of the major molecular chaperones is regulated by co-chaperones, a diverse cohort of non-client proteins. Since the second edition was released, not only has knowledge deepened on how co-chaperones act as nodes to network and functionalise chaperones, but an understanding of their broader biological function has started to emerge. The third edition provides new and updated chapters highlighting recent developments and emerging themes on co-chaperones, such as their extracellular functions, their role in human disease and their status as putative drug targets. The book is a useful resource for both newcomers and established researchers in the field of cell stress and chaperones, as well as those interested in cross-cutting disciplines such as cellular networks and systems biology.
Networking of Mutagens in Environmental Toxicology (Environmental Science and Engineering)
by Kavindra Kumar KesariThis book covers the latest environmental issues based on current research objectives. All chapters are fundamentally interlinked and focus on deciphering the networking of mutagens in environmental toxicity and human health. Our changing environment, climate, and lifestyle factors are growing concerns in the 21st century. The existing mutagens, either physical or chemical, are responsible for environmental toxicity. These toxicants are carcinogenic and not limited to naturally occurring chemicals or biologicals, but can also be man-made, such as 'radiation'. The networking of mutagens can have a broad range of effects on both the environment and human health. Accordingly, the respective chapters explore the networking of mutagens in connection with environmental toxicity, and address: 1. Extant types of man-made radiation and their effects on the environment and biological systems2. Heavy metal contaminations: Effects on environmental health3. Networking of environmental pollutants in the air, dust, soil, water, and natural toxins in the environment: Exposure and health4. The molecular interaction of environmental carcinogens with DNA: An oncoinformatics approach5. Fundamentals of nonotoxicity, carcinogenicity, mutagenic and neurotoxicity in environmental health6. The role of antioxidants and medicinal plants in reducing the impacts of disease-causing pollutants A sequel to Perspectives in Environmental Toxicology, this book highlights the latest developments in the field of environmental toxicology. It offers a valuable resource for researchers, scholars and graduate students alike.
Networking Technologies in Smart Healthcare: Innovations and Analytical Approaches (Wireless Communications and Networking Technologies)
by Pooja Singh Omprakash Kaiwartya Nidhi Sindhwani Vishal Jain Rohit AnandThis text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: • Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. • Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. • Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. • Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.
Networks for Water Policy: A Comparative Perspective (Routledge Library Editions: Water Resources)
by Hans Bressers Laurence J. O’Toole Jr Jeremy RichardsonNetwork models for analysing public policy have become widely used in recent years. This volume, originally published in 1995, assesses the network idea by applying a common perspective on network analysis to the constellations involved in water policy formation and implementation in England and Wales, Germany, Hungary, the Netherlands, the USA and at the level of the EU. Water policy – addressing basic human needs for the supply of adequate surface and groundwater as well as for the maintenance and improvement of water quality, is an increasingly salient subject. Each case covered in this volume treats the issues of water policy network composition and structure, and determinants of network characteristics, as well as documenting the influence of the networks on policy developments towards more network openness, emulation of business behaviour nd less domination by traditional professional groups such as engineers. Essays by the editors provide a common analytical perspective and offer both explicitly-comparative conclusions and evidence-based assessments of the strengths and limitations of the network perspective.
Networks in Systems Biology: Applications for Disease Modeling (Computational Biology #32)
by Fabricio Alves Barbosa da Silva Nicolas Carels Marcelo Trindade dos Santos Francisco José Pereira LopesThis book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.
Networks in the Global World V: Proceedings of NetGloW 2020 (Lecture Notes in Networks and Systems #181)
by Artem Antonyuk Nikita BasovThis proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies. The papers comprising this collection were presented at the Fifth ‘Networks in the Global World’ conference organized by the Centre for German and European Studies of St. Petersburg University and Bielefeld University and held on July 7–9, 2020. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The distinctive features of this book are the emphasis on in-depth linkages between theory, method, and applications, the blend of qualitative and quantitative methods, and the joint consideration of different network levels, types, and contexts. The topics covered by the papers include interrelation of social and cultural structures, constellations of power, and patterns of interaction in areas ranging from various types of communities (local, international, educational, political, and so on) to social media and literature. The book is useful for practicing researchers, graduate and postgraduate students, and educators interested in network analysis of social relations, politics, economy, and culture. Features that set the book apart from others in the field: · The book offers a unique cross-disciplinary blend of computational and ethnographic network analyses applied to a diverse spectrum of spheres, from literature and education to urban planning and policymaking. · Embracing conceptual, methodological, and empirical works, the book is among the few in network analysis to emphasize connections between theory, method, and applications. · The book brings together authors and empirical contexts from all over the globe, with a particular emphasis on European societies.
Networks in the Global World VI: Proceedings of NetGloW 2022 (Lecture Notes in Networks and Systems #663)
by Artem Antonyuk Nikita BasovThis book covers relations between social and cultural structures, power, and interaction in communities, social media, and literature. The areas range from politics and urban planning to literature and education. The collected chapters were presented at the Sixth ‘Networks in the Global World’ conference held on June 22–24, 2022. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The topics covered by the chapters cover relations between social and cultural structures, power, and interaction in communities, social media, and literature. The book is useful for practicing researchers, graduate and post-graduate students, and educators interested in social relations, politics, economy, and culture.
Networks of Networks: The Last Frontier of Complexity
by Gregorio D'Agostino Antonio ScalaThe present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). Seminal papers have recently been published posing the basis to study what happens when different networks interact, thus providing evidence for the emergence of new, unexpected behaviors and vulnerabilities. From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science. The reader will benefit from the experience of some of the most well-recognized leaders in this field. The contents have been aggregated under four headings; General Theory, Phenomenology, Applications and Risk Assessment. The reader will be impressed by the different applications of the general paradigm that span from physiology, to financial risk, to transports. We are currently making the first steps to reduce the distance between the language and the way of thinking of the two communities of experts in real infrastructures and the complexity scientists. Although this path may prove to be long, it is extremely promising, both in extending our understanding of complex systems and in finding concrete applications that can enhance the life quality of millions of people.
Networks of Networks in Biology: Concepts, Tools and Applications
by Narsis A. Kiani David Gomez-Cabrero Ginestra BianconiBiological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'.
Networks of the Brain
by Olaf SpornsOver the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. Modern network approaches are beginning to reveal fundamental principles of brain architecture and function, and in Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Brain networks span the microscale of individual cells and synapses and the macroscale of cognitive systems and embodied cognition. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function. In order to keep the book accessible and focused on the relevance to neuroscience of network approaches, he offers an informal and nonmathematical treatment of the subject. After describing the basic concepts of network theory and the fundamentals of brain connectivity, Sporns discusses how network approaches can reveal principles of brain architecture. He describes new links between network anatomy and function and investigates how networks shape complex brain dynamics and enable adaptive neural computation. The book documents the rapid pace of discovery and innovation while tracing the historical roots of the field. The study of brain connectivity has already opened new avenues of study in neuroscience. Networks of the Brain offers a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.