Temporal Network Theory
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Temporal Network Theory
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Author : Petter Holme
language : en
Publisher: Springer Nature
Release Date : 2023-11-20
Temporal Network Theory written by Petter Holme and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Mathematics categories.
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal NetworkTheory extends the first with three chapters highlighting recent developments in the interface with machine learning.
Computational Network Theory
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Author : Matthias Dehmer
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-28
Computational Network Theory written by Matthias Dehmer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-28 with Medical categories.
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
Learning Analytics Methods And Tutorials
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Author : Mohammed Saqr
language : en
Publisher: Springer Nature
Release Date : 2024-06-24
Learning Analytics Methods And Tutorials written by Mohammed Saqr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Education categories.
This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere. The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources. This is an open access book.
Recent Advances In Computational Optimization
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Author : Stefka Fidanova
language : en
Publisher: Springer Nature
Release Date : 2025-03-03
Recent Advances In Computational Optimization written by Stefka Fidanova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.
This book presents recent advances in computational optimization. The book includes important real problems like modelling of physical processes, workforce planning problem, transportation problems, machine scheduling, air pollution modelling, optimization of fast-food restaurant chain, solving engineering, and financial problems. Our everyday life is unthinkable without optimization. We try to minimize our effort and maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2023. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This research demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
A Guide To Temporal Networks
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Author : Naoki Masuda
language : en
Publisher: World Scientific Publishing Europe Limited
Release Date : 2016
A Guide To Temporal Networks written by Naoki Masuda and has been published by World Scientific Publishing Europe Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.
Mathematical toolbox -- Static networks -- Analysis of temporal networks -- Models of temporal networks -- Dynamics on temporal networks
Handbook Of Computational Social Science
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Author : Taha Yasseri
language : en
Publisher: Edward Elgar Publishing
Release Date : 2025-12-16
Handbook Of Computational Social Science written by Taha Yasseri and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-16 with Computers categories.
This accessible Handbook provides a comprehensive exploration and overview of computational social science (CSS), bringing together global experts to examine its boundary-spanning nature. With an interdisciplinary focus, chapters explore the transformative power of computational approaches in social science and take a forward-looking approach to anticipate the next wave of methodological innovations in CSS and emerging research areas, including societal aspects of Artificial Intelligence and other data-driven technologies.
Intelligent Control Based On Fuzzy Logic And Neural Network Theory
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Author : Chuen-Chien Lee
language : en
Publisher:
Release Date : 1990
Intelligent Control Based On Fuzzy Logic And Neural Network Theory written by Chuen-Chien Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Fuzzy logic categories.
Guide To Temporal Networks A Second Edition
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Author : Naoki Masuda
language : en
Publisher: World Scientific
Release Date : 2020-10-05
Guide To Temporal Networks A Second Edition written by Naoki Masuda and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-05 with Science categories.
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks and provides connections between the different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.This second edition extensively expands upon the coverage of the first edition as the authors expertly present recent theoretical and modelling progress in the emerging field of temporal networks, providing the keys to (and connections between) the different areas of knowledge required to address this multi-disciplinary problem.
The 1989 Neuro Computing Bibliography
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Author : Casimir C. Klimasauskas
language : en
Publisher: MIT Press (MA)
Release Date : 1989
The 1989 Neuro Computing Bibliography written by Casimir C. Klimasauskas and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.
Artificial Neuronal Networks
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Author : Sovan Lek
language : en
Publisher: Springer
Release Date : 2000-06-21
Artificial Neuronal Networks written by Sovan Lek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-21 with Business & Economics categories.
In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists.