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{ "item_title" : "Random Graphs and Networks", "item_author" : [" Alan Frieze", "Michal Karoński "], "item_description" : "Networks surround us, from social networks to protein-protein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs - component structure, matchings and Hamilton cycles, connectivity and chromatic number - before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/00/926/030/1009260308_b.jpg", "price_data" : { "retail_price" : "56.00", "online_price" : "56.00", "our_price" : "56.00", "club_price" : "56.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Random Graphs and Networks|Alan Frieze

Random Graphs and Networks : A First Course

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Overview

Networks surround us, from social networks to protein-protein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs - component structure, matchings and Hamilton cycles, connectivity and chromatic number - before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading.

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Details

  • ISBN-13: 9781009260305
  • ISBN-10: 1009260308
  • Publisher: Cambridge University Press
  • Publish Date: March 2023
  • Dimensions: 9.61 x 6.69 x 0.49 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 234

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