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Author  Title  Accn#  Year  Item Type  Claims 
11 
Squartini, Tiziano 
MaximumEntropy Networks 
I09907 
2017 
eBook 

12 
Zafeiris, Anna 
Why We Live in Hierarchies? 
I09897 
2018 
eBook 

13 
Lehnert, Judith 
Controlling Synchronization Patterns in Complex Networks 
I09860 
2016 
eBook 

14 
Cozzo, Emanuele 
Multiplex Networks 
I09825 
2018 
eBook 

15 
Lehmann, Sune 
Complex Spreading Phenomena in Social Systems 
I09819 
2018 
eBook 

16 
Susskind, Leonard 
Three Lectures on Complexity and Black Holes 
I09574 
2020 
eBook 

17 
Sawicki, Jakub 
Delay Controlled Partial Synchronization in Complex Networks 
I09413 
2019 
eBook 

18 
Shmueli, Erez 
3rd International Winter School and Conference on Network Science 
I09354 
2017 
eBook 

19 
Rubido, Nicol??s 
Energy Transmission and Synchronization in Complex Networks 
I09271 
2016 
eBook 

20 
Barbosa, Hugo 
Complex Networks XI 
I09203 
2020 
eBook 


11.


Title  MaximumEntropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics 
Author(s)  Squartini, Tiziano;Garlaschelli, Diego 
Publication  Cham, Springer International Publishing, 2017. 
Description  XII, 116 p. 34 illus., 31 illus. in color : online resource 
Abstract Note  This book is an introduction to maximumentropy models of random graphs with given topological properties and their applications. Its original contribution is the reformulation of many seemingly different problems in the study of both real networks and graph theory within the unified framework of maximum entropy. Particular emphasis is put on the detection of structural patterns in real networks, on the reconstruction of the properties of networks from partial information, and on the enumeration and sampling of graphs with given properties.?? After a first introductory chapter explaining the motivation, focus, aim and message of the book, chapter 2 introduces the formal construction of maximumentropy ensembles of graphs with local topological constraints. Chapter 3 focuses on the problem of pattern detection in real networks and provides a powerful way to disentangle nontrivial higherorder structural features from those that can be traced back to simpler local constraints. Chapter 4 focuses on the problem of network reconstruction and introduces various advanced techniques to reliably infer the topology of a network from partial local information. Chapter 5 is devoted to the reformulation of certain ???hard??? combinatorial operations, such as the enumeration and unbiased sampling of graphs with given constraints, within a ???softened??? maximumentropy framework. A final chapter offers various overarching remarks and takehome messages. By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field 
ISBN,Price  9783319694382 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. EBOOK
6. EBOOK  SPRINGER
7. GRAPH THEORY
8. PHYSICS
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. SYSTEM THEORY

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Call#  Status  Issued To  Return Due On  Physical Location 
I09907 


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12.


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

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Call#  Status  Issued To  Return Due On  Physical Location 
I09897 


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13.


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 zerolag 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

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Call#  Status  Issued To  Return Due On  Physical Location 
I09860 


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14.


Title  Multiplex Networks : Basic Formalism and Structural Properties 
Author(s)  Cozzo, Emanuele;de Arruda, Guilherme Ferraz;Rodrigues, Francisco Aparecido;Moreno, Yamir 
Publication  Cham, Springer International Publishing, 2018. 
Description  VII, 121 p. 36 illus. in color : online resource 
Abstract Note  This book provides the basis of a formal language and explores its possibilities in the characterization of multiplex networks. Armed with the formalism developed, the authors define structural metrics for multiplex networks. A methodology to generalize monoplex structural metrics to multiplex networks is also presented so that the reader will be able to generalize other metrics of interest in a systematic way. Therefore, this book will serve as a guide for the theoretical development of new multiplex metrics. Furthermore, this Brief describes the spectral properties of these networks in relation to concepts from algebraic graph theory and the theory of matrix polynomials. The text is rounded off by analyzing the different structural transitions present in multiplex systems as well as by a brief overview of some representative dynamical processes. Multiplex Networks will appeal to students, researchers, and professionals within the fields of network science, graph theory, and data science. 
ISBN,Price  9783319922553 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. Big data
3. BIG DATA ANALYTICS
4. EBOOK
5. EBOOK  SPRINGER
6. GRAPH THEORY
7. PHYSICS

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Call#  Status  Issued To  Return Due On  Physical Location 
I09825 


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15.


Title  Complex Spreading Phenomena in Social Systems : Influence and Contagion in RealWorld Social Networks 
Author(s)  Lehmann, Sune;Ahn, YongYeol 
Publication  Cham, Springer International Publishing, 2018. 
Description  VI, 361 p. 104 illus., 81 illus. in color : online resource 
Abstract Note  This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and datadriven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the stateoftheart. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in realworld networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health 
ISBN,Price  9783319773322 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. COMPUTER SIMULATION
3. DATA MINING
4. Data Mining and Knowledge Discovery
5. EBOOK
6. EBOOK  SPRINGER
7. Methodology of the Social Sciences
8. PHYSICS
9. Simulation and Modeling
10. SOCIAL SCIENCES

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09819 


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16.


Title  Three Lectures on Complexity and Black Holes 
Author(s)  Susskind, Leonard 
Publication  Cham, Springer International Publishing, 2020. 
Description  VIII, 100 p. 85 illus., 80 illus. in color : online resource 
Abstract Note  These three lectures cover a certain aspect of complexity and black holes, namely the relation to the second law of thermodynamics. The first lecture describes the meaning of quantum complexity, the analogy between entropy and complexity, and the second law of complexity. Lecture two reviews the connection between the second law of complexity and the interior of black holes. Prof. L. Susskind discusses how firewalls are related to periods of nonincreasing complexity which typically only occur after an exponentially long time. The final lecture is about the thermodynamics of complexity, and ???uncomplexity??? as a resource for doing computational work. The author explains the remarkable power of ???one clean qubit,??? in both computational terms and in spacetime terms. This book is intended for graduate students and researchers who want to take the first steps towards the mysteries of black holes and their complexity 
ISBN,Price  9783030451097 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. ASTROPHYSICS
3. Classical and Quantum Gravitation, Relativity Theory
4. COSMOLOGY
5. EBOOK
6. EBOOK  SPRINGER
7. GRAVITATION
8. MATHEMATICAL PHYSICS
9. PHYSICS
10. Quantum Field Theories, String Theory
11. QUANTUM FIELD THEORY
12. STRING THEORY
13. THEORETICAL ASTROPHYSICS
14. THERMODYNAMICS

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Call#  Status  Issued To  Return Due On  Physical Location 
I09574 


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17.


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 realworld 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 2oscillator 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 symmetrybreaking 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

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09413 


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18.


Title  3rd International Winter School and Conference on Network Science : NetSciX 2017 
Author(s)  Shmueli, Erez;Barzel, Baruch;Puzis, Rami 
Publication  Cham, Springer International Publishing, 2017. 
Description  VI, 130 p. 32 illus., 17 illus. in color : online resource 
Abstract Note  This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cybersecurity to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSciX is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. 
ISBN,Price  9783319554716 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. BIOINFORMATICS
3. Computational Biology/Bioinformatics
4. Computational Social Sciences
5. COMPUTER SIMULATION
6. Datadriven Science, Modeling and Theory Building
7. EBOOK
8. EBOOK  SPRINGER
9. ECONOPHYSICS
10. PHYSICS
11. Simulation and Modeling
12. Social sciences???Computer programs
13. Social sciences???Data processing
14. Sociophysics

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Call#  Status  Issued To  Return Due On  Physical Location 
I09354 


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19.


Title  Energy Transmission and Synchronization in Complex Networks : Mathematical Principles 
Author(s)  Rubido, Nicol??s 
Publication  Cham, Springer International Publishing, 2016. 
Description  XVII, 117 p. 32 illus., 14 illus. in color : online resource 
Abstract Note  This work tackles the problems of understanding how energy is transmitted and distributed in powergrids as well as in determining how robust this transmission and distribution is when modifications to the grid or power occur. The most important outcome is the derivation of explicit relationships between the structure of the grid, the optimal transmission and distribution of energy, and the grid???s collective behavior (namely, the synchronous generation of power). These relationships are extremely relevant for the design of resilient powergrid models. To allow the reader to apply these results to other complex systems, the thesis includes a review of relevant aspects of network theory, spectral theory, and novel analytical calculations to predict the existence and stability of periodic collective behavior in complex networks of phase oscillators, which constitute a paradigmatic model for many complex systems 
ISBN,Price  9783319222165 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. EBOOK
3. EBOOK  SPRINGER
4. ENERGY SYSTEMS
5. Mathematical Applications in the Physical Sciences
6. MATHEMATICAL PHYSICS
7. PHYSICS

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Call#  Status  Issued To  Return Due On  Physical Location 
I09271 


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20.
 
Title  Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 
Author(s)  Barbosa, Hugo;GomezGardenes, Jesus;Gon??alves, Bruno;Mangioni, Giuseppe;Menezes, Ronaldo;Oliveira, Marcos 
Publication  Cham, Springer International Publishing, 2020. 
Description  XVI, 404 p. 163 illus., 134 illus. in color : online resource 
Abstract Note  This book aims to bring together researchers and practitioners from diverse disciplines???from sociology, biology, physics, and computer science???who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March  3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate 
ISBN,Price  9783030409432 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Computational Intelligence
5. Computational Social Sciences
6. EBOOK
7. EBOOK  SPRINGER
8. PHYSICS
9. Social sciences???Computer programs
10. Social sciences???Data processing

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09203 


On Shelf 



 