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 #  AuthorTitleAccn#YearItem Type Claims
41 Deffuant, Guillaume Viability and Resilience of Complex Systems I07171 2011 eBook  
42 Ball, Philip Why Society is a Complex Matter I07060 2012 eBook  
43 Miritello, Giovanna Temporal Patterns of Communication in Social Networks I06996 2013 eBook  
44 Scharnhorst, Andrea Models of Science Dynamics I06006 2012 eBook  
45 Edmonds, Bruce Simulating Social Complexity I05658 2013 eBook  
46 Skjeltorp, Arne T Dynamics of Complex Interconnected Systems: Networks and Bioprocesses I05608 2006 eBook  
47 Heck, Andre Organizations and Strategies in Astronomy 6 I05586 2006 eBook  
48 Scherer, Stefan A Primer for Chiral Perturbation Theory I05415 2012 eBook  
49 Phaf, R.H Learning in Natural and Connectionist Systems I05234 1994 eBook  
50 Kelly, Jeffrey A Treating Child-Abusive Families I04018 1983 eBook  
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41.    
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TitleViability and Resilience of Complex Systems : Concepts, Methods and Case Studies from Ecology and Society
Author(s)Deffuant, Guillaume;Gilbert, Nigel
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2011.
DescriptionXII, 224 p : online resource
Abstract NoteOne common characteristic of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view of the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations on a variety of examples including the dynamics of bacterial biofilms, grassland savannahs, language competition and Internet social networking sites. The reader is taken through an introduction to the idea of resilience and viability and shown the mathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studies illustrates the use of the techniques in real applications, and the final section describes how one can use new software tools for carrying out the necessary calculations. The book is intended for a general scientific audience of readers from the natural and social sciences, although it requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical application of the concepts of resilience and viability
ISBN,Price9783642204234
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SIMULATION 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ECOLOGY 7. Ecology?? 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Methodology of the Social Sciences 11. Simulation and Modeling 12. SOCIAL SCIENCES 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems
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42.     
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TitleWhy Society is a Complex Matter : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s)Ball, Philip
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
Description80 p. 35 illus. in color : online resource
Abstract NoteSociety is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents ??? people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks ??? society can be regarded as a complex system. In recent years, scientists have made great progress in understanding how such complex systems operate, ranging from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emerge spontaneously as a consequence of their interactions: they are said to be ???self-organized???. Attempts to direct or manage such emergent properties generally reveal that ???top-down??? approaches, which try to dictate a particular outcome, are ineffectual, and that what is needed instead is a ???bottom-up??? approach that aims to guide self-organization towards desirable states. This book shows how some of these ideas from the science of complexity can be applied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and structure of cities. Building on these successes, the book argues that the complex-systems view of the social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimately predicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its interactions with the physical environment to be explored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions to major global problems such as conflict, disease, financial instability, environmental despoliation and poverty, while avoiding unintended policy consequences. It could give us the foresight to anticipate and ameliorate crises, and to begin tackling some of the most intractable problems of the twenty-first century
ISBN,Price9783642290008
Keyword(s)1. APPLICATION SOFTWARE 2. COMMUNICATION 3. Communication Studies 4. COMPLEXITY 5. COMPUTATIONAL COMPLEXITY 6. Computer Appl. in Social and Behavioral Sciences 7. Data-driven Science, Modeling and Theory Building 8. EBOOK 9. EBOOK - SPRINGER 10. ECONOMIC POLICY 11. ECONOMICS 12. ECONOPHYSICS 13. Methodology of the Social Sciences 14. Political Economy/Economic Systems 15. SOCIAL SCIENCES 16. Sociophysics
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43.     
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TitleTemporal Patterns of Communication in Social Networks
Author(s)Miritello, Giovanna
PublicationCham, Springer International Publishing, 2013.
DescriptionXIV, 153 p : online resource
Abstract NoteThe main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information
ISBN,Price9783319001104
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMMUNICATION 3. Communication Studies 4. COMPLEX SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. MATHEMATICS 10. Mathematics in the Humanities and Social Sciences 11. PHYSICS 12. SOCIAL SCIENCES 13. SYSTEM THEORY
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44.     
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TitleModels of Science Dynamics : Encounters Between Complexity Theory and Information Sciences
Author(s)Scharnhorst, Andrea;B??rner, Katy;van den Besselaar, Peter
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionXXX, 270 p : online resource
Abstract NoteModels of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basic objects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented here cover stochastic and statistical models, game-theoretic approaches, agent-based simulations, population-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizes terminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of future challenges for science modeling and discusses their relevance for science policy and science policy studies
ISBN,Price9783642230684
Keyword(s)1. APPLICATION SOFTWARE 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Information Systems Applications (incl. Internet) 9. Methodology of the Social Sciences 10. SOCIAL SCIENCES 11. Sociophysics
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45.     
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TitleSimulating Social Complexity : A Handbook
Author(s)Edmonds, Bruce;Meyer, Ruth
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionVII, 754 p : online resource
Abstract NoteSocial systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. ??Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. ??The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors. ??The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. ??This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged. ??This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ???Why read this chapter???? followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ???Further Reading??? briefly describing three to eight items that a newcomer might read next. ??
ISBN,Price9783540938132
Keyword(s)1. APPLICATION SOFTWARE 2. ARTIFICIAL INTELLIGENCE 3. BEHAVIORAL SCIENCES 4. COMPLEX SYSTEMS 5. Computer Appl. in Social and Behavioral Sciences 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. GAME THEORY 10. Game Theory, Economics, Social and Behav. Sciences 11. SOCIAL SCIENCES 12. Social Sciences, general 13. STATISTICAL PHYSICS
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46.     
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TitleDynamics of Complex Interconnected Systems: Networks and Bioprocesses
Author(s)Skjeltorp, Arne T;Belushkin, Alexander V
PublicationDordrecht, Springer Netherlands, 2006.
DescriptionXV, 209 p : online resource
Abstract NoteThis volume comprises the proceedings of a NATO Advanced Study Institute (ASI) held at Geilo, Norway, 11-21 April 2005, the eighteenth ASI in a series held every two years since 1971. The objective of this ASI was to identify and discuss areas where synergism between modern physics and biology may be most fruitfully applied to the study of bioprocesses for molecular recognition, and of networks for converting molecular reactions into usable signals and appropriate responses. Many fields of research are confronted with networks. Genetic and metabolic networks describe how proteins, substrates and genes interact in a cell; social networks quantify the interactions between people in the society; the Internet is a complex web of computers; ecological systems are best described as a web of species. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Understanding these phenomena and turning them to use in chemical and biological threat detection and response will require exploring a wide range of network structures as well
ISBN,Price9781402050305
Keyword(s)1. Amorphous substances 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. Biomaterials 5. BIOPHYSICS 6. Complex fluids 7. COMPLEX SYSTEMS 8. DYNAMICAL SYSTEMS 9. EBOOK 10. EBOOK - SPRINGER 11. SOCIAL SCIENCES 12. Social Sciences, general 13. Soft and Granular Matter, Complex Fluids and Microfluidics 14. STATISTICAL PHYSICS 15. Statistical Physics and Dynamical Systems
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47.     
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TitleOrganizations and Strategies in Astronomy 6
Author(s)Heck, Andre
PublicationDordrecht, Springer Netherlands, 2006.
DescriptionVIII, 351 p : online resource
Abstract NoteThis book is the sixth volume under the title Organizations and Strategies in Astronomy (OSA). The OSA series is intended to cover a large range of fields and themes. In practice, one could say that all aspects of astronomy-related life and environment are considered in the spirit of sharing specific expertise and lessons learned. The chapters of this book are dealing with socio-dynamical aspects of the astronomy (and related space sciences) community: characteristics of organizations, strategies for development, legal issues, operational techniques, observing practicalities, educational policies, journal and magazine profiles, public outreach, publication studies, relationships with the media, research communication, evaluation and selection procedures, research indicators, national specificities, contemporary history, and so on. The experts contributing to this volume have done their best to write in a way understandable to readers not necessarily hyperspecialized in astronomy while providing specific detailed information and sometimes enlightening `lessons learned' sections. The book concludes with an updated bibliography of publications related to socio-astronomy and to the interactions of the astronomy community with the society at large. This volume will be most usefully read by researchers, teachers, editors, publishers, librarians, sociologists of science, research planners and strategists, project managers, public-relations officers, plus those in charge of astronomy-related organizations, as well as by students aiming at a career in astronomy or related space science
ISBN,Price9781402040566
Keyword(s)1. ASTRONOMY 2. Astronomy, Astrophysics and Cosmology 3. ASTROPHYSICS 4. EBOOK 5. EBOOK - SPRINGER 6. SOCIAL SCIENCES 7. Social Sciences, general
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48.     
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TitleA Primer for Chiral Perturbation Theory
Author(s)Scherer, Stefan;Schindler, Matthias R
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionIX, 338 p. 35 illus : online resource
Abstract NoteChiral Perturbation Theory, as effective field theory, is a commonly accepted and well established working tool, approximating quantum chromodynamics at energies well below typical hadron masses. This volume, based on a number of lectures and supplemented with additional material, provides a pedagogical introduction for graduate students and newcomers entering the field from related areas of nuclear and particle physics. Starting with the the Lagrangian of the strong interactions and general symmetry principles, the basic concepts of Chiral Perturbation Theory in the mesonic and baryonic sectors are developed. The application of these concepts is then illustrated with a number of examples. A large number of exercises (81, with complete solutions) are included to familiarize the reader with helpful calculational techniques
ISBN,Price9783642192548
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. ECONOMIC POLICY 4. Law 5. Law, general 6. NANOTECHNOLOGY 7. PHYSICS 8. Physics, general 9. R & D/Technology Policy 10. SOCIAL SCIENCES 11. Social Sciences, general
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49.     
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TitleLearning in Natural and Connectionist Systems : Experiments and a Model
Author(s)Phaf, R.H
PublicationDordrecht, Springer Netherlands, 1994.
DescriptionXVI, 294 p : online resource
Abstract NoteModern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities. The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models
ISBN,Price9789401108409
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Methodology of the Social Sciences 6. Neurology 7. Neurology?? 8. SOCIAL SCIENCES 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems 11. SYSTEM THEORY 12. Systems Theory, Control
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50.    
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TitleTreating Child-Abusive Families : Intervention Based on Skills-Training Principles
Author(s)Kelly, Jeffrey A
PublicationNew York, NY, Springer US, 1983.
DescriptionXIV, 220 p : online resource
Abstract NoteDuring the past ten years, the problem of child abuse has been the subject of increased attention both in the professional community and among the general public. The reasons for this widespread recogni?? tion are clear. First, professionals of many disciplines deal with child?? abusive families and do so in a variety of ways: Physicians, hospital staff, and teachers are often the first to assess a child as the victim of abuse; social workers and child-protective personnel investigate cases of suspected abuse; court and legal authorities make determinations concerning the needs of an abused child; and mental health profes?? sionals, including psychologists, social workers, and family coun?? selors, often have responsibility for treating abusive families. Few clinical problems have received this kind of widespread interdisci?? plinary recognition and, given the nature and seriousness of child?? abusive behavior, few problems receive such intensive attention within each profession's literature. A second factor responsible for increased study of child abuse is the fact that violence directed toward children is probably the most extreme form of family dysfunction seen by counselors, therapists, and other practitioners. While other types of child-management and anger-control problems occur far more frequently, the consequences of child-abusive behavior are much more serious than the conse?? quences of other problems seen in child or family clinics. It has been v vi PREFACE estimated that as many as 550,000 children are the targets of parental abuse in the country each year (Helfer & Kemper, 1976)
ISBN,Price9781489903631
Keyword(s)1. Clinical psychology 2. EBOOK 3. EBOOK - SPRINGER 4. SOCIAL SCIENCES 5. Social Sciences, general
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