It takes the average reader 2 hours and 50 minutes to read Large Deviations for Random Graphs by Sourav Chatterjee
Assuming a reading speed of 250 words per minute. Learn more
This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools to help answer such questions. Important advances have been made in the last few years, employing tools from the newly developed theory of graph limits. This work represents the first book-length treatment of this area, while also exploring the related area of exponential random graphs. All required results from analysis, combinatorics, graph theory and classical large deviations theory are developed from scratch, making the text self-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for beginning graduate students in mathematics and statistics.
Large Deviations for Random Graphs by Sourav Chatterjee is 170 pages long, and a total of 42,500 words.
This makes it 57% the length of the average book. It also has 52% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 52 minutes to read Large Deviations for Random Graphs aloud.
Large Deviations for Random Graphs is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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