Description: Maximum-Entropy Networks by Tiziano Squartini, Diego Garlaschelli Estimated delivery 3-12 business days Format Paperback Condition Brand New Description A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field. Publisher Description This book is an introduction to maximum-entropy models of random graphs with given topological properties and their applications. Its original contribution is the reformulation of many seemingly different problems in the study of both real networks and graph theory within the unified framework of maximum entropy. Particular emphasis is put on the detection of structural patterns in real networks, on the reconstruction of the properties of networks from partial information, and on the enumeration and sampling of graphs with given properties. After a first introductory chapter explaining the motivation, focus, aim and message of the book, chapter 2 introduces the formal construction of maximum-entropy ensembles of graphs with local topological constraints. Chapter 3 focuses on the problem of pattern detection in real networks and provides a powerful way to disentangle nontrivial higher-order structural features from those that can be traced back to simpler local constraints. Chapter 4 focuses on the problem of network reconstruction and introduces various advanced techniques to reliably infer the topology of a network from partial local information. Chapter 5 is devoted to the reformulation of certain "hard" combinatorial operations, such as the enumeration and unbiased sampling of graphs with given constraints, within a "softened" maximum-entropy framework. A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field. Details ISBN 3319694367 ISBN-13 9783319694368 Title Maximum-Entropy Networks Author Tiziano Squartini, Diego Garlaschelli Format Paperback Year 2017 Pages 116 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137660216; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 80.77 USD
Location: Fairfield, Ohio
End Time: 2024-12-01T03:32:38.000Z
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ISBN-13: 9783319694368
Book Title: Maximum-Entropy Networks
Number of Pages: Xii, 116 Pages
Publication Name: Maximum-Entropy Networks : Pattern Detection, Network Reconstruction and Graph Combinatorics
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Networking / General, System Theory, Physics / Mathematical & Computational, Discrete Mathematics
Type: Textbook
Item Weight: 72.6 Oz
Author: Diego Garlaschelli, Tiziano Squartini
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Item Width: 6.1 in
Series: Springerbriefs in Complexity Ser.
Format: Trade Paperback
