| |
| |
Click the serial number on the left to view the details of the item. |
| # |
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 |
Maximum-Entropy 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), 24-28 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 highly-multidisciplinary field |
| ISBN,Price | 9783031282768 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SCIENCE
3. EBOOK - SPRINGER
4. GRAPH THEORY
5. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12690 |
|
|
On Shelf |
|
|
|
|
2.
 |
|
| Title | Spatial Networks : A Complete Introduction: From Graph Theory and Statistical Physics to Real-World 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??
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12505 |
|
|
On Shelf |
|
|
|
|
|
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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12265 |
|
|
On Shelf |
|
|
|
|
|
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 multi-agent 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11934 |
|
|
On Shelf |
|
|
|
|
|
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 wavelet-based 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 Real-time Classification of Motor-related 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11833 |
|
|
On Shelf |
|
|
|
|
|
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), 24-26 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11769 |
|
|
On Shelf |
|
|
|
|
|
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 small-scale elements of a complex medium to its macroscopic or large-scale 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11666 |
|
|
On Shelf |
|
|
|
|
|
8.
|
|
| Title | Maximum-Entropy 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 maximum-entropy 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 maximum-entropy 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 higher-order 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??? maximum-entropy framework. A final chapter offers various overarching remarks and take-home 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09907 |
|
|
On Shelf |
|
|
|
|
|
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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09825 |
|
|
On Shelf |
|
|
|
|
|
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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09152 |
|
|
On Shelf |
|
|
|
| |