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Author : Moez Draief,Laurent Massoulié
Publisher : Unknown
Page : 130 pages
File Size : 50,9 Mb
Release : 2014-05-14
Category : COMPUTERS
ISBN : 1107362253
A concise introduction for applied mathematicians and computer scientists to modern approaches to epidemic modelling on networks.
Author : Moez Draief,Laurent Massoulié
Publisher : Cambridge University Press
Page : 0 pages
File Size : 43,5 Mb
Release : 2009-12-03
Category : Mathematics
ISBN : 0521734436
Information propagation through peer-to-peer systems, online social systems, wireless mobile ad hoc networks and other modern structures can be modelled as an epidemic on a network of contacts. Understanding how epidemic processes interact with network topology allows us to predict ultimate course, understand phase transitions and develop strategies to control and optimise dissemination. This book is a concise introduction for applied mathematicians and computer scientists to basic models, analytical tools and mathematical and algorithmic results. Mathematical tools introduced include coupling methods, Poisson approximation (the Stein-Chen method), concentration inequalities (Chernoff bounds and Azuma-Hoeffding inequality) and branching processes. The authors examine the small-world phenomenon, preferential attachment, as well as classical epidemics. Each chapter ends with pointers to the wider literature. An ideal accompaniment for graduate courses, this book is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks.
Author : Piet Van Mieghem
Publisher : Cambridge University Press
Page : 692 pages
File Size : 53,7 Mb
Release : 2014-04-24
Category : Computers
ISBN : 9781107058606
Provides the mathematical, stochastic and graph theoretic methods to analyse the performance and robustness of complex networks and systems.
Author : Thiago Christiano Silva,Liang Zhao
Publisher : Springer
Page : 331 pages
File Size : 54,8 Mb
Release : 2016-01-28
Category : Computers
ISBN : 9783319172903
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-supervised learning using a stochastic nonlinear dynamical system is described in details. Moreover, an analytical analysis is supplied, which enables one to predict the behavior of the proposed technique. In addition, data reliability issues are explored in semi-supervised learning. Such matter has practical importance and is not often found in the literature. With the goal of validating these techniques for solving real problems, simulations on broadly accepted databases are conducted. Still in this book, we present a hybrid supervised classification technique that combines both low and high orders of learning. The low level term can be implemented by any classification technique, while the high level term is realized by the extraction of features of the underlying network constructed from the input data. Thus, the former classifies the test instances by their physical features, while the latter measures the compliance of the test instances with the pattern formation of the data. We show that the high level technique can realize classification according to the semantic meaning of the data. This book intends to combine two widely studied research areas, machine learning and complex networks, which in turn will generate broad interests to scientific community, mainly to computer science and engineering areas.
Author : Murilo C. Naldi,Reinaldo A. C. Bianchi
Publisher : Springer Nature
Page : 498 pages
File Size : 50,6 Mb
Release : 2023-10-11
Category : Computers
ISBN : 9783031453922
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis; Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
Author : István Z. Kiss,Joel C. Miller,Péter L. Simon
Publisher : Springer
Page : 423 pages
File Size : 48,7 Mb
Release : 2017-06-08
Category : Mathematics
ISBN : 9783319508061
This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by: Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book; Presenting different mathematical approaches to formulate exact and solvable models; Identifying the concrete links between approximate models and their rigorous mathematical representation; Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity; Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks; Providing software that can solve differential equation models or directly simulate epidemics on networks. Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.
Author : Przemysław Kazienko,Nitesh Chawla
Publisher : Springer
Page : 240 pages
File Size : 49,6 Mb
Release : 2015-05-28
Category : Computers
ISBN : 9783319190037
This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.
Author : Jose Sallan,Oriol Lordan
Publisher : Elsevier
Page : 252 pages
File Size : 51,7 Mb
Release : 2019-09-15
Category : Social Science
ISBN : 9780128126653
Air Route Networks Through Complex Networks Theory connects theory research with network connectivity analysis, providing practitioners with the tools they need to develop more efficient, resilient and profitable air route networks. The book helps airline route planners and executives create more robust route networks that are less vulnerable to disruptions, such as node isolation. The book further explores errors and attacks in complex networks, strategies for detecting critical nodes and cascading failure models to assess and maximize robustness. The book explains how to measure air route network connectivity with complex network representations. Air transport is among the most dynamic and toughest competition industries in today's global economy. The quality of air route network design is a key strategic factor in an airline's viability. These robust networks provide for more stable and secure carrier operations vs. those based simply on existing supply and demand volumes. Node-specific and network-specific representations are covered, along with in-depth coverage of connectivity in special and temporal networks. These collective tools serve as a guide for practitioners seeking to apply complex network theory to the airline industry. Presents complex networks theory research results applied to airline transportation networks Examines airline network robustness in the face of disruptions, providing strategies for detecting critical nodes of air transport networks Provides historical perspective on the economic, political, technical, and geographical constraints that influence airline route portfolios Connects data from valuable tools, such as navpoints, area control centers (ACC), and flight information centers, with air network modeling Studies spreading-related phenomena, such as rumors, and disease contagions, and how these affect the airline industry
Author : Chantal Cherifi,Hocine Cherifi,Márton Karsai,Mirco Musolesi
Publisher : Springer
Page : 1288 pages
File Size : 43,9 Mb
Release : 2017-11-24
Category : Technology & Engineering
ISBN : 9783319721507
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.
Author : Dun Han,Jianbo Wang,Jianrong Wang
Publisher : Frontiers Media SA
Page : 152 pages
File Size : 51,9 Mb
Release : 2023-04-27
Category : Science
ISBN : 9782832522066
Author : Kai Fischbach,Marcel Großmann,Udo R. Krieger,Thorsten Staake
Publisher : University of Bamberg Press
Page : 149 pages
File Size : 41,9 Mb
Release : 2014-04-17
Category : Electronic
ISBN : 9783863092085
Author : Fei Hu,Ali Mostashari,Jiang Xie
Publisher : CRC Press
Page : 412 pages
File Size : 54,5 Mb
Release : 2010-11-17
Category : Computers
ISBN : 143980981X
While there are sporadic journal articles on socio-technical networks, there’s long been a need for an integrated resource that addresses concrete socio-technical network (STN) design issues from algorithmic and engineering perspectives. Filling this need, Socio-Technical Networks: Science and Engineering Design provides a complete introduction to the fundamentals of one of the hottest research areas across the social sciences, networking, and computer science—including its definition, historical background, and models. Covering basic STN architecture from a physical/technological perspective, the book considers the system design process in a typical STN, including inputs, processes/actions, and outputs/products. It covers current applications, including transportation networks, energy systems, tele-healthcare, financial networks, and the World Wide Web. A group of STN expert contributors addresses privacy and security topics in the interdependent context of critical infrastructure, which include risk models, trust models, and privacy preserving schemes. Covers the physical and technological designs in a typical STN Considers STN applications in popular fields, such as healthcare and the virtual community Details a method for mapping and measuring complexity, uncertainty, and interactions among STN components The book examines the most important STN models, including graph theory, inferring agent dynamics, decision theory, and information mining. It also explains structural studies, behavioral studies, and agent/actor system studies and policy studies in different STN contexts. Complete with in-depth case studies, this book supplies the practical insight needed to address contemporary STN design issues.
Author : Leslie Ann Goldberg,Klaus Jansen,R. Ravi,José D.P. Rolim
Publisher : Springer Science & Business Media
Page : 715 pages
File Size : 45,7 Mb
Release : 2011-08-05
Category : Computers
ISBN : 9783642229343
This book constitutes the joint refereed proceedings of the 14th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2011, and the 15th International Workshop on Randomization and Computation, RANDOM 2011, held in Princeton, New Jersey, USA, in August 2011. The volume presents 29 revised full papers of the APPROX 2011 workshop, selected from 66 submissions, and 29 revised full papers of the RANDOM 2011 workshop, selected from 64 submissions. They were carefully reviewed and selected for inclusion in the book. In addition two abstracts of invited talks are included. APPROX focuses on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM is concerned with applications of randomness to computational and combinatorial problems.
Author : Anonim
Publisher : Emerald Group Publishing
Page : 272 pages
File Size : 42,9 Mb
Release : 2016-07-25
Category : Business & Economics
ISBN : 9781786355331
Volume 11 of Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to areas including Marketing and Sales, Health Care and Business and Economics.
Author : Jens B. Schmitt
Publisher : Springer
Page : 331 pages
File Size : 42,5 Mb
Release : 2012-03-08
Category : Computers
ISBN : 9783642285400
This book constitutes the refereed proceedings of the 16th International GI/ITG Conference on Measurement, Modeling and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, held in Kaiserslautern, Germany, in March 2012. The 16 revised full papers presented together with 5 tool papers and 5 selected workshop papers were carefully reviewed and selected from 54 submissions. MMB & DFT 2012 covers diverse aspects of performance and dependability evaluation of systems including networks, computer architectures, distributed systems, software, fault-tolerant and secure systems.