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 #  AuthorTitleAccn#YearItem Type Claims
1 Cozzo, Emanuele Multiplex Networks I09825 2018 eBook  
2 Patel, Dhiren IC-BCT 2019 I09718 2020 eBook  
3 Frederic Abergel (ed.) New Perspectives and Challenges in Econophysics and Sociophysics I09462 2019 eBook  
4 Golosovsky, Michael Citation Analysis and Dynamics of Citation Networks I09186 2019 eBook  
5 Kaya, Mehmet Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation I08706 2020 eBook  
6 Guido Caldarelli Data science and complex networks OB1034 eBook  
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TitleMultiplex Networks : Basic Formalism and Structural Properties
Author(s)Cozzo, Emanuele;de Arruda, Guilherme Ferraz;Rodrigues, Francisco Aparecido;Moreno, Yamir
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionVII, 121 p. 36 illus. in color : online resource
Abstract NoteThis 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,Price9783319922553
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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2.     
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TitleIC-BCT 2019 : Proceedings of the International Conference on Blockchain Technology
Author(s)Patel, Dhiren;Nandi, Sukumar;Mishra, B.K;Shah, Deven;Modi, Chirag N;Shah, Kamal;Bansode, Rajesh S
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2020.
DescriptionXII, 258 p. 126 illus., 55 illus. in color : online resource
Abstract NoteThis book presents articles from the International Conference on Blockchain Technology (IC-BCT) 2019, held in Mumbai, India, and highlights recent advances in the field. It brings together researchers and industry practitioners to show case their ideas linked to business case studies, and provides an opportunity for engineers, researchers, startups and professionals in the field of Blockchain technology to further collaboration
ISBN,Price9789811545429
Keyword(s)1. Big data 2. BIG DATA ANALYTICS 3. COMPUTER ENGINEERING 4. Cyber-physical systems, IoT 5. Data protection 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. Embedded computer systems 11. Internet of things 12. Security 13. Sociophysics
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3.     
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TitleNew Perspectives and Challenges in Econophysics and Sociophysics
Author(s)Frederic Abergel (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Nivedita Deo (ed.);Sharma, Kiran
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionX, 272 p. 105 illus., 67 illus. in color : online resource
Abstract NoteThis book presents results on the latest perspectives and challenges within the interrelated fields of econophysics and sociophysics, which have emerged from the application of statistical physics to economics and sociology. Economic and financial markets appear to be in a permanent state of flux. Billions of agents interact with each other, giving rise to complex dynamics of economic quantities at the micro and macro levels. With the availability of huge data sets, researchers can address questions at a much more granular level than was previously possible. Fundamental questions regarding the aggregation of actions and information and the coordination, complexity, and evolution of economic and financial networks are currently receiving much attention in the econophysics research agenda. In parallel, the sociophysics literature has focused on large-scale social data and their interrelations. In this book, leading researchers from different communities economists, sociologists, financial analysts, mathematicians, physicists, statisticians, and others report on their recent work and their analyses of economic and social behavior.
ISBN,Price9783030113643
Keyword(s)1. Big data 2. EBOOK 3. EBOOK - SPRINGER 4. Economics, Mathematical?? 5. GAME THEORY 6. Quantitative Finance 7. Science???Social aspects 8. Societal Aspects of Physics, Outreach and Education 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems
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I09462     On Shelf    

4.     
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TitleCitation Analysis and Dynamics of Citation Networks
Author(s)Golosovsky, Michael
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionXIV, 121 p. 53 illus., 52 illus. in color : online resource
Abstract NoteThis book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics-inspired model of citation dynamics. This stochastic model of citation dynamics is based on a well-known copying or recursive search mechanism. The measurements covered in this text yield parameters of the model and reveal that citation dynamics of scientific papers is not linear, as was previously assumed. This nonlinearity has far-reaching consequences including non-stationary citation distributions, diverging citation trajectories of similar papers, and runaways or "immortal papers" with an infinite citation lifespan. The author shows us that nonlinear stochastic models of citation dynamics can be the basis for a quantitative probabilistic prediction of citation dynamics of individual papers and of the overall journal impact factor. This book appeals to students and researchers from differing subject areas working in network science and bibliometrics
ISBN,Price9783030281694
Keyword(s)1. Big data 2. BIG DATA ANALYTICS 3. COMPLEX SYSTEMS 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Sociophysics 9. SYSTEM THEORY
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5.     
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TitlePutting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
Author(s)Kaya, Mehmet;Birinci, ??uayip;Kawash, Jalal;Alhajj, Reda
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXIII, 237 p. 68 illus., 51 illus. in color : online resource
Abstract NoteThis book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students
ISBN,Price9783030336981
Keyword(s)1. APPLICATION SOFTWARE 2. Big data 3. BIG DATA ANALYTICS 4. Computational Social Sciences 5. Computer Appl. in Social and Behavioral Sciences 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing 12. Sociophysics
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I08706     On Shelf    

6.    
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TitleData science and complex networks : real cases studies with Python
Author(s)Guido Caldarelli;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. EBOOK 4. EBOOK - OXFORD UNIVERSITY PRESS 5. Python (Computer program language) 6. SYSTEM ANALYSIS
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OB1034     On Shelf    

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