This book PDF is perfect for those who love Mathematics genre, written by Alan Frieze and published by Cambridge University Press which was released on 03 May 2024 with total hardcover pages 483. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Introduction to Random Graphs books below.
| Author | : Alan Frieze |
| File Size | : 43,9 Mb |
| Publisher | : Cambridge University Press |
| Language | : English |
| Release Date | : 03 May 2024 |
| ISBN | : 9781107118508 |
| Pages | : 483 pages |
The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.
The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.
Get BookA rigorous yet accessible introduction to the rapidly expanding subject of random graphs and networks.
Get BookA unified, modern treatment of the theory of randomgraphs-including recent results and techniques Since its inception in the 1960s, the theory of random graphs hasevolved into a dynamic branch of discrete mathematics. Yet despitethe lively activity and important applications, the lastcomprehensive volume on the subject is Bollobas's well-known 1985book. Poised
Get BookThis classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Get BookThe theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation, meaning that any two people on the planet can be connected by a short chain of people who know each other,
Get BookMost networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precise quantitative description of relations between nodes (or data units) and all network components. This book
Get BookThis 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.
Get BookThis volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally
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