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Click the serial number on the left to view the details of the item. |
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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Linghe Kong (ed.) |
Big data in astronomy: Scientific Data Processing for Advanced Radio Telescope |
026872 |
2020 |
Book |
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| 2 |
Cozzo, Emanuele |
Multiplex Networks |
I09825 |
2018 |
eBook |
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| 3 |
Patel, Dhiren |
IC-BCT 2019 |
I09718 |
2020 |
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 |
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2.
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| 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 |
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On Shelf |
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3.
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| Title | IC-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 |
| Publication | Singapore, Springer Singapore, 2020. |
| Description | XII, 258 p. 126 illus., 55 illus. in color : online resource |
| Abstract Note | This 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,Price | 9789811545429 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09718 |
|
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On Shelf |
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4.
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| Title | Citation Analysis and Dynamics of Citation Networks |
| Author(s) | Golosovsky, Michael |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XIV, 121 p. 53 illus., 52 illus. in color : online resource |
| Abstract Note | This 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,Price | 9783030281694 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09186 |
|
|
On Shelf |
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5.
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| Title | Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation |
| Author(s) | Kaya, Mehmet;Birinci, ??uayip;Kawash, Jalal;Alhajj, Reda |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XIII, 237 p. 68 illus., 51 illus. in color : online resource |
| Abstract Note | This 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,Price | 9783030336981 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08706 |
|
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On Shelf |
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