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Working With Network Data : A Data Science Perspective, Hardcover by Bagrow, ...
US $83.58
ApproximatelyAU $128.09
Condition:
Like new
A book that looks new but has been read. Cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Jessup, Maryland, United States
Delivery:
Estimated between Wed, 30 Jul and Tue, 5 Aug to 94104
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eBay item number:388321844486
Item specifics
- Condition
- ISBN
- 9781009212595
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1009212591
ISBN-13
9781009212595
eBay Product ID (ePID)
2336606939
Product Key Features
Book Title
Working with Network Data
Number of Pages
400 Pages
Language
English
Publication Year
2024
Topic
Engineering (General), Physics / Mathematical & Computational
Illustrator
Yes
Genre
Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Length
9.9 in
Item Width
7 in
Additional Product Features
LCCN
2023-054233
Dewey Edition
23/eng/20240508
Reviews
'An essential resource for newcomers to network science, this book expertly addresses the practical challenges of handling network data. Through a rich array of real-world examples and hands-on exercises, Bagrow and Ahn skillfully guide readers through the complexities of conceptualizing and analyzing networked data, making this text a fundamental tool for students and researchers eager to explore the power of connections across various disciplines.' Albert-László Barabási, Dodge Distinguished Professor of Network Science at Northeastern University
Dewey Decimal
004.6/5
Table Of Content
Contents; Preface; Part I. Background: 1. A whirlwind tour of network science; 2. Network data across fields; 3. Data ethics; 4. Primer; Part II. Applications, Tools and Tasks: 5. The life-cycle of a network study; 6. Gathering data; 7. Extracting networks from data - the 'upstream task'; 8. Implementation: storing and manipulating network data; 9. Incorporating node and edge attributes; 10. Awful errors and how to amend them; 11. Explore and explain: statistics for network data; 12. Understanding network structure and organization; 13. Visualizing networks; 14. Summarizing and comparing networks; 15. Dynamics and dynamic networks; 16. Machine learning; Interlude - Good practices for scientific computing; 17. Research record-keeping; 18. Data provenance; 19. Reproducible and reliable code; 20. Helpful tools; Part III. Fundamentals: 21. Networks demand network thinking: the friendship paradox; 22. Network models; 23. Statistical models and inference; 24. Uncertainty quantification and error analysis; 25. Ghost in the matrix: spectral methods for networks; 26. Embedding and machine learning; 27. Big data and scalability; Conclusion; Bibliography; Index.
Synopsis
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and equips you with a toolbox of diverse methods and data modelling approaches. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise., Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.
LC Classification Number
TK5105.5.B3 2024
Item description from the seller
Seller feedback (384,929)
- c***m (410)- Feedback left by buyer.Past 6 monthsVerified purchaseAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- l***1 (1485)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat seller; book exactly as described in mint condition sold at a reasonable price; seller shipped item FAST, FREE and with tracking information, a must nowadays; seller shipped in tight, cardboard mailing envelope, which tightly fit over the book, preventing damage in shipment; good communication too; rate seller 10+++++Cuentos de La Habana Elegante, Brand New, Free shipping in the US (#364594098367)
- c***t (921)- Feedback left by buyer.Past 6 monthsVerified purchaseThe book I bought was reasonably priced and when it arrived it was in the 'Like New' condition specified in the listing. However, when I saw that the seller had not shipped the book after more than 15 days had passed since my order I felt I must write to say that I had actually placed an order with the seller and inquire when it planned to send the book. The brusque reply was that a tracking number was available, but no number HAD been created until I pointed out that I had placed the order.Catland by Hughes, Kathryn, Like New Used, Free shipping in the US (#356798982438)
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