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Author | Title | Accn# | Year | Item Type | Claims |
| 121 |
Zafeiris, Anna |
Why We Live in Hierarchies? |
I09897 |
2018 |
eBook |
|
| 122 |
Lehnert, Judith |
Controlling Synchronization Patterns in Complex Networks |
I09860 |
2016 |
eBook |
|
| 123 |
Bertin, Eric |
Statistical Physics of Complex Systems |
I09852 |
2016 |
eBook |
|
| 124 |
Bourgine, Paul |
First Complex Systems Digital Campus World E-Conference 2015 |
I09839 |
2017 |
eBook |
|
| 125 |
Cecconi, Federico |
New Frontiers in the Study of Social Phenomena |
I09731 |
2016 |
eBook |
|
| 126 |
Masuda, Naoki |
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science |
I09711 |
2020 |
eBook |
|
| 127 |
Hutt, Axel |
Synergetics |
I09580 |
2020 |
eBook |
|
| 128 |
Civitarese, Osvaldo |
Methods in Statistical Mechanics |
I09517 |
2020 |
eBook |
|
| 129 |
Sawicki, Jakub |
Delay Controlled Partial Synchronization in Complex Networks |
I09413 |
2019 |
eBook |
|
| 130 |
Banisch, Sven |
Markov Chain Aggregation for Agent-Based Models |
I09240 |
2016 |
eBook |
|
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121.
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| Title | Why We Live in Hierarchies? : A Quantitative Treatise |
| Author(s) | Zafeiris, Anna;Vicsek, Tam??s |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XIV, 110 p. 42 illus., 39 illus. in color : online resource |
| Abstract Note | This book systematically interprets and documents new, unifying principles and basic laws describing the most relevant aspects of hierarchy. To do so, it discusses recent experiments and models that are simple and realistic enough to reproduce the observations, and develops concepts for a better understanding of the complexity of systems consisting of many organisms. The book covers systems ranging from flocks of birds to groups of people. ?? Although it focuses on hierarchical collective behavior??in general, two aspects pop up in the majority of cases: collective motion and dynamically changing, partially directed networks (and the natural relation between the two). In addition, it offers a brief description of the most relevant definitions and concepts involved in the context of hierarchies, presenting both a review of the current literature and a number of new experimental and computational results in more detail. It is a valuable resource for students and scholars pursuing research on the structure of interactions within the collectives of animals and humans |
| ISBN,Price | 9783319704838 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. EBOOK
6. EBOOK - SPRINGER
7. PHYSICS
8. Science???Social aspects
9. Societal Aspects of Physics, Outreach and Education
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. 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 |
| I09897 |
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On Shelf |
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122.
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| Title | Controlling Synchronization Patterns in Complex Networks |
| Author(s) | Lehnert, Judith |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XV, 203 p : online resource |
| Abstract Note | This research aims to achieve a fundamental understanding of synchronization and its interplay with the topology of complex networks. Synchronization is a ubiquitous phenomenon observed in different contexts in physics, chemistry, biology, medicine and engineering. Most prominently, synchronization takes place in the brain, where it is associated with several cognitive capacities but is - in abundance - a characteristic of neurological diseases. Besides zero-lag synchrony, group and cluster states are considered, enabling a description and study of complex synchronization patterns within the presented theory. Adaptive control methods are developed, which allow the control of synchronization in scenarios where parameters drift or are unknown. These methods are, therefore, of particular interest for experimental setups or technological applications. The theoretical framework is demonstrated on generic models, coupled chemical oscillators and several detailed examples of neural networks |
| ISBN,Price | 9783319251158 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. DYNAMICAL SYSTEMS
3. DYNAMICS
4. EBOOK
5. EBOOK - SPRINGER
6. Mathematical Models of Cognitive Processes and Neural Networks
7. Neural networks (Computer science)??
8. PHYSICAL CHEMISTRY
9. PHYSICS
10. SYSTEM THEORY
11. Systems Theory, Control
12. VIBRATION
13. Vibration, Dynamical Systems, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09860 |
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On Shelf |
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123.
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| Title | Statistical Physics of Complex Systems : A Concise Introduction |
| Author(s) | Bertin, Eric |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XIV, 172 p. 23 illus : online resource |
| Abstract Note | This course-tested primer provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting units, and on the other to predict the macroscopic, collective behavior of the system considered from the perspective of the microscopic laws governing the dynamics of the individual entities. These two goals are essentially also shared by what is now called 'complex systems science', and as such, systems studied in the framework of statistical physics may be considered to be among the simplest examples of complex systems ??? while also offering a rather well developed mathematical treatment. The second edition has been significantly revised and expanded, featuring in particular three new chapters addressing non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. Yet, the original spirit of the book ??? to remain accessible to a broad, non-specialized readership ??? has been kept throughout: the format is a set of concise, modular and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses. From the reviews of the first edition: ?????? a good introduction to basic concepts of statistical physics and complex systems for students and researchers with an interest in complex systems in other fields ??? .??? Georg Hebermehl, Zentralblatt MATH, Vol. 1237, 2012 ?????? this short text remains very refreshing for the mathematician.??? Dimitri Petritis, Mathematical Reviews, Issue 2012k |
| ISBN,Price | 9783319423401 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. STATISTICAL PHYSICS
8. Statistical Physics and Dynamical Systems
9. 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 |
| I09852 |
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On Shelf |
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124.
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| Title | First Complex Systems Digital Campus World E-Conference 2015 |
| Author(s) | Bourgine, Paul;Collet, Pierre;Parrend, Pierre |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | VIII, 424 p. 120 illus., 96 illus. in color : online resource |
| Abstract Note | This book contains the proceedings as well as invited papers for the first annual conference of the UNESCO Unitwin Complex System Digital Campus (CSDC), which is an international initiative gathering 120 Universities on four continents, and structured in ten E-Departments. First Complex Systems Digital Campus World E-Conference 2015 features chapters from the latest research results on theoretical questions of complex systems and their experimental domains. The content contained bridges the gap between the individual and the collective within complex systems science and new integrative sciences on topics such as: genes to organisms to ecosystems, atoms to materials to products, and digital media to the Internet. The conference breaks new ground through a dedicated video-conferencing system ??? a concept at the heart of the international UNESCO UniTwin, embracing scientists from low-income and distant countries. This book promotes an integrated system of research, education, and training. It also aims at contributing to global development by taking into account its social, economic, and cultural dimensions. First Complex Systems Digital Campus World E-Conference 2015 will appeal to students and researchers working in the fields of complex systems, statistical physics, computational intelligence, and biological physics. |
| ISBN,Price | 9783319459011 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. COMPLEXITY
6. COMPUTATIONAL COMPLEXITY
7. Computational Intelligence
8. DATA MINING
9. Data Mining and Knowledge Discovery
10. DYNAMICAL SYSTEMS
11. EBOOK
12. EBOOK - SPRINGER
13. STATISTICAL PHYSICS
14. 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 |
| I09839 |
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On Shelf |
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125.
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| Title | New Frontiers in the Study of Social Phenomena : Cognition, Complexity, Adaptation |
| Author(s) | Cecconi, Federico |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | X, 206 p. 49 illus. in color : online resource |
| Abstract Note | This book studies social phenomena in a new way, by making judicious use of computer technology. The book addresses the entire spectrum of classic studies in social science, from experiments to the computational models, with a multidisciplinary approach. The book is suitable for those who want to get a picture of what it means to do social research today, and also to get an indication of the major open issues. The book is connected to a database of code for simulations, experimental data and allows to activate a subscription to a teaching tool using NetLogo, a programming language widely used in the social studies. The authors are researchers with first-hand experience research projects, both basic and applied. The work will be useful for those who want to understand more of the social, economic and political phenomena via computer applications |
| ISBN,Price | 9783319239385 |
| Keyword(s) | 1. APPLICATION SOFTWARE
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. Computer Appl. in Social and Behavioral Sciences
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. Economic sociology
10. Organizational Studies, Economic Sociology
11. STATISTICAL PHYSICS
12. Statistical Physics and Dynamical Systems
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 |
| I09731 |
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On Shelf |
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126.
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| Title | Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science |
| Author(s) | Masuda, Naoki;Goh, Kwang-Il;Jia, Tao;Yamanoi, Junichi;Sayama, Hiroki |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | X, 270 p. 81 illus., 70 illus. in color : online resource |
| Abstract Note | This volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X is the Network Science Society???s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today???s cutting-edge research frontier of network science |
| ISBN,Price | 9783030389659 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computational Social Sciences
4. Computer mathematics
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Social sciences???Computer programs
9. Social sciences???Data processing
10. STATISTICAL PHYSICS
11. 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 |
| I09711 |
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On Shelf |
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127.
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| Title | Synergetics |
| Author(s) | Hutt, Axel;Haken, Hermann |
| Publication | New York, NY, Springer US, 2020. |
| Description | 223 illus., 95 illus. in color. eReference : online resource |
| Abstract Note | This volume of the ???Encyclopedia of Complexity and Systems Science, Second Edition??? (ECSS), introduces the fundamental physical and mathematical concepts underlying the theory of complex physical, chemical, and biological systems. Numerous applications illustrate how these concepts explain observed phenomena in our daily lives, which range from spatio-temporal patterns in fluids from atmospheric turbulence in hurricanes and tornadoes to feedback dynamics of laser intensity to structures in cities and rhythms in the brain. The spontaneous formation of well-organized structures out of microscopic system components and their interactions is one of the most fascinating and challenging phenomena for scientists to understand. Biological systems may also exhibit organized structures emanating from interactions of cells and their networks. For instance, underlying structures in the brain emerge as certain mental states, the ability to coordinate movement, or pathologies such as tremor or epileptic seizures. When we try to explain or understand these extremely complex biological phenomena, it is natural to ask whether analogous processes of self-organization may be found in much simpler systems of the inanimate world. In recent decades, it has become increasingly evident that there exist numerous examples in physical and chemical systems in which well-organized spatio-temporal structures arise out of disordered states. As in living organisms, the functioning of these systems can be maintained only by a flux of energy (and matter) through them. Synergetics combines elements from physics and mathematics to explain how a diversity of systems obey the same basic principles. All chapters in this volume have been thoroughly revised and updated from the first edition of ECSS. The second edition also includes new or expanded coverage of such topics as chaotic dynamics in laser systems and neurons, novel insights into the relation of classical chaos and quantum dynamics, and how noise in the brain tunes observed neural activity and controls animal and human behavior. |
| ISBN,Price | 9781071604212 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. EBOOK
6. EBOOK - SPRINGER
7. Mathematical Models of Cognitive Processes and Neural Networks
8. Neural networks (Computer science)??
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. SYSTEM THEORY
12. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09580 |
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On Shelf |
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128.
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| Title | Methods in Statistical Mechanics : A Modern View |
| Author(s) | Civitarese, Osvaldo;Gadella, Manuel |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XI, 181 p. 3 illus., 2 illus. in color : online resource |
| Abstract Note | This book presents a variety of techniques for tackling phenomena that are not amenable to the conventional approach based on the concept of probabilities. The methods described rely on the use of path integration, thermal Green functions, time-temperature propagators, Liouville operators, second quantization, and field correlators at finite density and temperature. Also exploring the statistical mechanics of unstable quantum systems, the book is intended as a supplementary or reference text for use in one-semester graduate courses on Quantum Mechanics, Thermodynamics, Electromagnetism, and Mathematical Methods in Physics. |
| ISBN,Price | 9783030536589 |
| Keyword(s) | 1. Chemistry, Physical and theoretical
2. COMPLEX SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Methods in Physics
6. MATHEMATICAL PHYSICS
7. PHYSICS
8. SYSTEM THEORY
9. Theoretical and Computational Chemistry
10. Theoretical, Mathematical and Computational Physics
11. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09517 |
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On Shelf |
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129.
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| Title | Delay Controlled Partial Synchronization in Complex Networks |
| Author(s) | Sawicki, Jakub |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XV, 166 p : online resource |
| Abstract Note | The focus of this thesis are synchronization phenomena in networks and their intrinsic control through time delay, which is ubiquitous in real-world systems ranging from physics and acoustics to neuroscience and engineering. We encounter synchronization everywhere and it can be either a helpful or a detrimental mechanism. In the first part, after a survey of complex nonlinear systems and networks, we show that a seemingly simple system of two organ pipes gives birth to complex bifurcation and synchronization scenarios. Going from a 2-oscillator system to a ring of oscillators, we encounter the intriguing phenomenon of chimera states which are partial synchrony patterns with coexisting domains of synchronized and desynchronized dynamics. For more than a decade scientist have tried to solve the puzzle of this spontaneous symmetry-breaking emerging in networks of identical elements. We provide an analysis of initial conditions and extend our model by the addition of time delay and fractal connectivities. In the second part, we investigate partial synchronization patterns in a neuronal network and explain dynamical asymmetry arising from the hemispheric structure of the human brain. A particular focus is on the novel scenario of partial relay synchronization in multiplex networks. Such networks allow for synchronization of the coherent domains of chimera states via a remote layer, whereas the incoherent domains remain desynchronized. The theoretical framework is demonstrated with different generic models. |
| ISBN,Price | 9783030340766 |
| Keyword(s) | 1. Acoustical engineering
2. ACOUSTICS
3. Applications of Graph Theory and Complex Networks
4. COMPLEX SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. Engineering Acoustics
8. NEUROBIOLOGY
9. Neurosciences
10. PHYSICS
11. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09413 |
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On Shelf |
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130.
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| Title | Markov Chain Aggregation for Agent-Based Models |
| Author(s) | Banisch, Sven |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XIV, 195 p. 83 illus., 18 illus. in color : online resource |
| Abstract Note | This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible. It presents a general framework of aggregation in agent-based and related computational models, one which makes use of lumpability and information theory in order to link the micro and macro levels of observation. The starting point is a microscopic Markov chain description of the dynamical process in complete correspondence with the dynamical behavior of the agent-based model (ABM), which is obtained by considering the set of all possible agent configurations as the state space of a huge Markov chain. An explicit formal representation of a resulting ???micro-chain??? including microscopic transition rates is derived for a class of models by using the random mapping representation of a Markov process. The type of probability distribution used to implement the stochastic part of the model, which defines the updating rule and governs the dynamics at a Markovian level, plays a crucial part in the analysis of ???voter-like??? models used in population genetics, evolutionary game theory and social dynamics. The book demonstrates that the problem of aggregation in ABMs - and the lumpability conditions in particular - can be embedded into a more general framework that employs information theory in order to identify different levels and relevant scales in complex dynamical systems |
| ISBN,Price | 9783319248776 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. EBOOK
6. EBOOK - SPRINGER
7. Mathematical Methods in Physics
8. PHYSICS
9. STATISTICAL PHYSICS
10. 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 |
| I09240 |
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On Shelf |
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