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Author  Title  Accn#  Year  Item Type  Claims 
1 
Teixeira, Andreia Sofia 
Complex Networks XIV 
I12690 
2023 
eBook 

2 
Barthelemy, Marc 
Spatial Networks 
I12505 
2022 
Book 

3 
Pacheco, Diogo 
Complex Networks XIII 
I12265 
2022 
Book 

4 
Doboli, Simona 
Creativity and Innovation 
I11934 
2021 
eBook 

5 
Hramov, Alexander E 
Wavelets in Neuroscience 
I11833 
2021 
eBook 

6 
Teixeira, Andreia Sofia 
Complex Networks XII 
I11769 
2021 
eBook 

7 
Sahimi, Muhammad 
Complex Media and Percolation Theory 
I11666 
2021 
eBook 

8 
Squartini, Tiziano 
MaximumEntropy Networks 
I09907 
2017 
eBook 

9 
Cozzo, Emanuele 
Multiplex Networks 
I09825 
2018 
eBook 

10 
Borinsky, Michael 
Graphs in Perturbation Theory 
I09152 
2018 
eBook 


1.


Title  Complex Networks XIV : Proceedings of the 14th Conference on Complex Networks, CompleNet 2023 
Author(s)  Teixeira, Andreia Sofia;Botta, Federico;Mendes, Jos?? Fernando;Menezes, Ronaldo;Mangioni, Giuseppe 
Publication  Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2023. 
Description  VI, 169 p. 55 illus., 51 illus. in color : online resource 
Abstract Note  This book contains contributions in the area of Network Science, presented at the 14th International Conference on Complex Networks (CompleNet), 2428 April, 2023 in Aveiro, Portugal. CompleNet is an international conference on complex networks that brings 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. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. The audience of the work are professionals and academics working in Network Science, a highlymultidisciplinary field 
ISBN,Price  9783031282768 
Keyword(s)  1. COMPLEX SYSTEMS
2. COMPUTER SCIENCE
3. EBOOK  SPRINGER
4. GRAPH THEORY
5. SYSTEM THEORY

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2.


Title  Spatial Networks : A Complete Introduction: From Graph Theory and Statistical Physics to RealWorld Applications 
Author(s)  Barthelemy, Marc 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XIX, 437 p. 241 illus., 157 illus. in color : online resource 
Abstract Note  This book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks. The book puts a special emphasis on analyzing complex systems which are organized under the form of networks where nodes and edges are embedded in space. In these networks, space is relevant, and topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields, ranging from urbanism to epidemiology. This subject is therefore at the crossroad of many fields and is of potential interest to a broad audience comprising physicists, mathematicians, engineers, geographers or urbanists. In this book, the author has expanded his previous book ("Morphogenesis of Spatial Networks") to serve as a textbook and reference on this topic for a wide range of students and professional researchers 
ISBN,Price  9783030941062 
Keyword(s)  1. Applied Statistics
2. EBOOK
3. EBOOK  SPRINGER
4. GRAPH THEORY
5. STATISTICAL PHYSICS
6. Statistics??

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Call#  Status  Issued To  Return Due On  Physical Location 
I12505 


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3.


Title  Complex Networks XIII : Proceedings of the 13th Conference on Complex Networks, CompleNet 2022 
Author(s)  Pacheco, Diogo;Teixeira, Andreia Sofia;Barbosa, Hugo;Menezes, Ronaldo;Mangioni, Giuseppe 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  IX, 122 p. 43 illus., 39 illus. in color : online resource 
Abstract Note  This book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19???22, 2022. CompleNet is an international conference on complex networks that brings 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. CompleNet is a venue to discuss ideas and findings about all types of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate 
ISBN,Price  9783031176586 
Keyword(s)  1. Artificial intelligence???Data processing
2. COMPLEX SYSTEMS
3. COMPUTER SCIENCE
4. DATA SCIENCE
5. EBOOK
6. EBOOK  SPRINGER
7. GRAPH THEORY
8. Network Research
9. Social sciences???Network analysis
10. SYSTEM THEORY

Item Type  Book 
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Call#  Status  Issued To  Return Due On  Physical Location 
I12265 


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4.


Title  Creativity and Innovation : Cognitive, Social, and Computational Approaches 
Author(s)  Doboli, Simona;Kenworthy, Jared B;Minai, Ali A;Paulus, Paul B 
Publication  Cham, Springer International Publishing, 2021. 
Description  XIV, 274 p. 53 illus., 48 illus. in color : online resource 
Abstract Note  This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation ??? from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks ??? and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multiagent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas 
ISBN,Price  9783030771980 
Keyword(s)  1. Applied Dynamical Systems
2. Biotechnology
3. DYNAMICS
4. EBOOK
5. EBOOK  SPRINGER
6. GRAPH THEORY
7. Mathematical Models of Cognitive Processes and Neural Networks
8. Neural networks (Computer science)??
9. NEUROPSYCHOLOGY
10. NONLINEAR THEORIES

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Call#  Status  Issued To  Return Due On  Physical Location 
I11934 


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5.


Title  Wavelets in Neuroscience 
Author(s)  Hramov, Alexander E;Koronovskii, Alexey A;Makarov, Valeri A;Maksimenko, Vladimir A;Pavlov, Alexey N;Sitnikova, Evgenia 
Publication  Cham, Springer International Publishing, 2021. 
Description  XVI, 384 p. 174 illus., 69 illus. in color : online resource 
Abstract Note  This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where waveletbased mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings. This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics: ??? Detection of fEPSPs in multielectrode LFPs recordings. ??? Analysis of Visual Sensory Processing in the Brain and BCI for Human Attention Control; ??? Analysis and Realtime Classification of Motorrelated EEG Patterns; The book is a valuable resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduate students specializing in these and related areas 
ISBN,Price  9783030759926 
Keyword(s)  1. Applied Dynamical Systems
2. BIOPHYSICS
3. DYNAMICS
4. EBOOK
5. EBOOK  SPRINGER
6. GRAPH THEORY
7. Mathematical Models of Cognitive Processes and Neural Networks
8. Neural networks (Computer science)??
9. NEUROSCIENCE
10. Neurosciences
11. NONLINEAR THEORIES

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Call#  Status  Issued To  Return Due On  Physical Location 
I11833 


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6.


Title  Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 
Author(s)  Teixeira, Andreia Sofia;Pacheco, Diogo;Oliveira, Marcos;Barbosa, Hugo;Gon??alves, Bruno;Menezes, Ronaldo 
Publication  Cham, Springer International Publishing, 2021. 
Description  VIII, 133 p. 48 illus., 40 illus. in color : online resource 
Abstract Note  This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 2426 May 2021. CompleNet is an international conference on complex networks that brings 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. CompleNet is a venue to discuss ideas and findings about all types 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  9783030818548 
Keyword(s)  1. Artificial intelligence???Data processing
2. COMPLEX SYSTEMS
3. COMPUTER SCIENCE
4. DATA SCIENCE
5. EBOOK
6. EBOOK  SPRINGER
7. GRAPH THEORY
8. SYSTEM THEORY

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11769 


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7.


Title  Complex Media and Percolation Theory 
Author(s)  Sahimi, Muhammad;Hunt, Allen G 
Publication  New York, NY, Springer US, 2021. 
Description  152 illus., 75 illus. in color. eReference : online resource 
Abstract Note  Percolation theory describes the effects of the connectivity of microscopic or smallscale elements of a complex medium to its macroscopic or largescale properties. It also describes the conditions under which there may be a continuously connected path of local elements across the medium. The point at which the path is formed is called the percolation threshold. Percolation theory also predicts that many macroscopic properties of complex media follow universal power laws near the percolation threshold that are independent of many microscopic features of such media. There are many applications of percolation theory across the natural sciences, from porous materials, to composite solids, complex networks, and biological systems. This book presents the essential elements of percolation theory, covers the problem of calculating the exponents that characterize the power laws that the percolation quantities follow near the percolation threshold, provides a clear description of the geometry of percolation clusters of the connected paths, and addresses several variations of percolation theory. In particular, bootstrap percolation, explosive percolation, and invasion percolation are featured, which expand the range of natural systems to which percolation may be applicable. In addition, coverage includes several important applications of percolation theory to a range of phenomena, ranging from electrical conductivity, thermopower, the Hall effect, and photoconductivity of disordered semiconductors, to flow, transport and reaction in porous media, geochemistry, biology, and ecology 
ISBN,Price  9781071614570 
Keyword(s)  1. Catalysis
2. Classical and Continuum Physics
3. CONDENSED MATTER
4. EARTH SCIENCES
5. EBOOK
6. EBOOK  SPRINGER
7. GRAPH THEORY
8. MATHEMATICAL PHYSICS
9. Phase Transitions and Multiphase Systems
10. PHYSICS
11. Theoretical, Mathematical and Computational Physics

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Call#  Status  Issued To  Return Due On  Physical Location 
I11666 


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8.


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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9.


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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10.
 
Title  Graphs in Perturbation Theory : Algebraic Structure and Asymptotics 
Author(s)  Borinsky, Michael 
Publication  Cham, Springer International Publishing, 2018. 
Description  XVIII, 173 p. 23 illus., 3 illus. in color : online resource 
Abstract Note  This book is the first systematic study of graphical enumeration and the asymptotic algebraic structures in perturbative quantum field theory. Starting with an exposition of the Hopf algebra structure of generic graphs, it reviews and summarizes the existing literature. It then applies this Hopf algebraic structure to the combinatorics of graphical enumeration for the first time, and introduces a novel method of asymptotic analysis to answer asymptotic questions. This major breakthrough has combinatorial applications far beyond the analysis of graphical enumeration. The book also provides detailed examples for the asymptotics of renormalizable quantum field theories, which underlie the Standard Model of particle physics. A deeper analysis of such renormalizable field theories reveals their algebraic lattice structure. The pedagogical presentation allows readers to apply these new methods to other problems, making this thesis a future classic for the study of asymptotic problems in quantum fields, network theory and far beyond 
ISBN,Price  9783030035419 
Keyword(s)  1. Applications of Graph Theory and Complex Networks
2. EBOOK
3. EBOOK  SPRINGER
4. Elementary particles (Physics)
5. Elementary Particles, Quantum Field Theory
6. GRAPH THEORY
7. Mathematical Methods in Physics
8. PHYSICS
9. QUANTUM FIELD THEORY

Item Type  eBook 
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Call#  Status  Issued To  Return Due On  Physical Location 
I09152 


On Shelf 



 