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 #  AuthorTitleAccn#YearItem Type Claims
1 Ernesto Estrada The structure of complex networks OB1121 eBook  
2 Guido Caldarelli and Alessandro Chessa Data science and complex networks OB1034 eBook  
3 Henry D.I. Abarbanel Predicting the future I02268 2013 eBook  
4 Petter Holme (ed.) Temporal networks I02251 2013 eBook  
5 Ljupco Kocarev (ed.) Consensus and synchronization in complex networks I02151 2013 eBook  
6 Julia Poncela Casasnovas Evolutionary games in complex topologies I01896 2012 eBook  
7 Andreas Pyka (ed.) Innovation networks I01502 2009 eBook  
8 Cyrille Bertelle Complex systems and self-organization modelling I01501 2009 eBook  
9 Nino Boccara Modeling complex systems I01477 2010 eBook  
10 Alessandro Chiuso ... (ed.) Modelling, estimation and control of networked complex systems I01132 2009 eBook  
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1.    
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TitleThe structure of complex networks : theory and applications
Author(s)Ernesto Estrada
PublicationOxford, 1. c2012 2. Oxford University Press,
Description1 online resource (xii, 465 p.) : ill
Abstract NoteThe book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks
NotesIncludes bibliographical references and index
ISBN,Price9780191774959 (ebook)
Keyword(s)1. Network analysis (Planning) 2. SYSTEM ANALYSIS
Item TypeeBook
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2.     
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TitleData science and complex networks : real cases studies with Python
Author(s)Guido Caldarelli and Alessandro Chessa
EditionFirst edition
Description1 online resource : illustrations (black and white)
Abstract NoteThis work guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts
NotesThis edition previously issued in print: 2016. -Includes bibliographical references and index
ISBN,Price9780191782916 (ebook)
Keyword(s)1. Big data 2. COMPUTER NETWORKS 3. Python (Computer program language) 4. SYSTEM ANALYSIS
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3.     
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TitlePredicting the future : completing models of observed complex systems
Author(s)Henry D.I. Abarbanel
PublicationNew York, Springer, 2013.
Description1 online resource
Abstract NotePredicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems
NotesIncludes bibliographical references and index
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. SYSTEM ANALYSIS
Item TypeeBook
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I02268     On Shelf    

4.     
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TitleTemporal networks
Author(s)Petter Holme (ed.);Jari Saram�aki (ed.)
PublicationBerlin, Springer, 2013.
Description1 online resource
Keyword(s)1. COMPUTATIONAL COMPLEXITY 2. EBOOK 3. EBOOK - SPRINGER 4. SYSTEM ANALYSIS
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I02251     On Shelf    

5.     
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TitleConsensus and synchronization in complex networks
Author(s)Ljupco Kocarev (ed.)
PublicationBerlin, Springer, 2013.
Description1 online resource
Abstract NoteSynchronization in complex networks is one of the most captivating cooperative phenomena in nature and has been shown to be of fundamental importance in such varied circumstances as the continued existence of species, the functioning of heart pacemaker cells, epileptic seizures, neuronal firing in the feline visual cortex and cognitive tasks in humans. E.g. coupled visual and acoustic interactions make fireflies flash, crickets chirp, and an audience clap in unison. On the other hand, in distributed systems and networks, it is often necessary for some or all of the nodes to calculate some function of certain parameters, e.g. sink nodes in sensor networks being tasked with calculating the average measurement value of all the sensors or multi-agent systems in which all agents are required to coordinate their speed and direction. When all nodes calculate the same function of the initial values in the system, they are said to reach consensus. Such concepts - sometimes also called state agreement, rendezvous, and observer design in control theory - have recently received considerable attention in the computational science and engineering communities. Quite generally, consensus formation among a small group of expert models of an objective process is challenging because the separate models have already been optimized in their own parameter spaces. The mathematical framework for describing synchronization and consensus in natural and technical sciences is similar and the aim of this book is to provide the first comprehensive work in which synchronization and consensus are presented jointly, thereby allowing the reader to learn about the similarities and differences of the two concepts in both a systematic and application-oriented fashion. The ten chapters have been carefully selected so as to reflect the current state-of-the-art of synchronization and consensus in networked systems; in particular two chapters dealing with a novel application of synchronization concepts in machine learning have been included. The book is aimed at all scientists and engineers, graduate students and practitioners, working in the fields of synchronization and related phenomena
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Synchronization 4. SYSTEM ANALYSIS
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6.     
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TitleEvolutionary games in complex topologies : interplay between structure and dynamics
Author(s)Julia Poncela Casasnovas
PublicationBerlin, Springer, 2012.
Description1 online resource (xiii, 157 p.)
NotesIncludes bibliographical references
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. GAME THEORY 4. MATHEMATICS / Game Theory 5. SYSTEM ANALYSIS 6. TOPOLOGY
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7.     
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TitleInnovation networks : new approaches in modelling and analyzing
Author(s)Andreas Pyka (ed.);Andrea Scharnhorst (ed.)
PublicationBerlin, Springer, 2009.
Description1 online resource (x, 330 p.) : ill
NotesIncludes bibliographical references and index
Keyword(s)1. Communications Engineering, Networks 2. COMPLEXITY 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOMIC THEORY 6. Economics/Management Science 7. Engineering Economics, Organization, Logistics, Marketing 8. IRREVERSIBLE PROCESSES 9. Methodology of the Social Sciences 10. Operations Research/Decision Theory 11. SYSTEM ANALYSIS
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I01502     On Shelf    

8.     
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TitleComplex systems and self-organization modelling
Author(s)Cyrille Bertelle;G�erard H.E. Duchamp;Hakima Kadri-Dahmani;eds
PublicationBerlin, Springer, 2009.
Description1 online resource (xi, 236 p.) : ill
NotesSelected conference papers. -Includes bibliographical references and index
Keyword(s)1. Appl. Mathematics/Computational Methods of Engineering 2. COMPLEXITY 3. Dynamical Systems and Ergodic Theory 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING 7. SELF-ORGANIZING SYSTEMS 8. SYSTEM ANALYSIS 9. Vibration, Dynamical Systems, Control
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9.     
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TitleModeling complex systems
Author(s)Nino Boccara
Edition2nd ed
PublicationNew York, Springer, 2010.
Description1 online resource (xvii, 489 p.) : ill
NotesPrevious ed.: 2004. -Includes bibliographical references and index
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. SYSTEM ANALYSIS 4. SYSTEM THEORY
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I01477     On Shelf    

10.    
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TitleModelling, estimation and control of networked complex systems
Author(s)Alessandro Chiuso ... (ed.)
PublicationBerlin, Springer-Verlag, 2009.
Description1 online resource
NotesIncludes bibliographical references
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. ENGINEERING 4. SYSTEM ANALYSIS
Item TypeeBook
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I01132     On Shelf    

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