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Author | Title | Accn# | Year | Item 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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| Title | Viability and Resilience of Complex Systems : Concepts, Methods and Case Studies from Ecology and Society |
| Author(s) | Deffuant, Guillaume;Gilbert, Nigel |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2011. |
| Description | XII, 224 p : online resource |
| Abstract Note | One 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,Price | 9783642204234 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07171 |
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On Shelf |
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42.
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| Title | Why Society is a Complex Matter : Meeting Twenty-first Century Challenges with a New Kind of Science |
| Author(s) | Ball, Philip |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | 80 p. 35 illus. in color : online resource |
| Abstract Note | Society 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,Price | 9783642290008 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07060 |
|
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On Shelf |
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43.
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| Title | Temporal Patterns of Communication in Social Networks |
| Author(s) | Miritello, Giovanna |
| Publication | Cham, Springer International Publishing, 2013. |
| Description | XIV, 153 p : online resource |
| Abstract Note | The 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,Price | 9783319001104 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06996 |
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On Shelf |
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44.
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| Title | Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences |
| Author(s) | Scharnhorst, Andrea;B??rner, Katy;van den Besselaar, Peter |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | XXX, 270 p : online resource |
| Abstract Note | Models 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,Price | 9783642230684 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06006 |
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On Shelf |
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45.
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| Title | Simulating Social Complexity : A Handbook |
| Author(s) | Edmonds, Bruce;Meyer, Ruth |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2013. |
| Description | VII, 754 p : online resource |
| Abstract Note | Social 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,Price | 9783540938132 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05658 |
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On Shelf |
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46.
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| Title | Dynamics of Complex Interconnected Systems: Networks and Bioprocesses |
| Author(s) | Skjeltorp, Arne T;Belushkin, Alexander V |
| Publication | Dordrecht, Springer Netherlands, 2006. |
| Description | XV, 209 p : online resource |
| Abstract Note | This 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,Price | 9781402050305 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05608 |
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On Shelf |
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47.
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| Title | Organizations and Strategies in Astronomy 6 |
| Author(s) | Heck, Andre |
| Publication | Dordrecht, Springer Netherlands, 2006. |
| Description | VIII, 351 p : online resource |
| Abstract Note | This 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,Price | 9781402040566 |
| Keyword(s) | 1. ASTRONOMY
2. Astronomy, Astrophysics and Cosmology
3. ASTROPHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. SOCIAL SCIENCES
7. Social Sciences, general
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05586 |
|
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On Shelf |
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48.
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| Title | A Primer for Chiral Perturbation Theory |
| Author(s) | Scherer, Stefan;Schindler, Matthias R |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | IX, 338 p. 35 illus : online resource |
| Abstract Note | Chiral 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,Price | 9783642192548 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05415 |
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On Shelf |
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49.
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| Title | Learning in Natural and Connectionist Systems : Experiments and a Model |
| Author(s) | Phaf, R.H |
| Publication | Dordrecht, Springer Netherlands, 1994. |
| Description | XVI, 294 p : online resource |
| Abstract Note | Modern 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,Price | 9789401108409 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05234 |
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On Shelf |
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50.
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| Title | Treating Child-Abusive Families : Intervention Based on Skills-Training Principles |
| Author(s) | Kelly, Jeffrey A |
| Publication | New York, NY, Springer US, 1983. |
| Description | XIV, 220 p : online resource |
| Abstract Note | During 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,Price | 9781489903631 |
| Keyword(s) | 1. Clinical psychology
2. EBOOK
3. EBOOK - SPRINGER
4. SOCIAL SCIENCES
5. Social Sciences, general
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04018 |
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On Shelf |
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