{"product_id":"network-models-for-data-science-theory-algorithms-and-applications-hardback-9781108835763","title":"Network Models for Data Science; Theory, Algorithms, and Applications (Hardback) 9781108835763","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNetwork Models for Data Science\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eTheory, Algorithms, and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThis is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlan Julian Izenman (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108835763, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 5 January 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e550 pages\u003cbr\u003e25.9 x 18.5 x 2.8 cm, 1.14 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e 1. Introduction and preview\u003cbr\u003e 2. Examples of networks\u003cbr\u003e 3. Graphs and networks\u003cbr\u003e 4. Random graph models\u003cbr\u003e 5. Percolation on Zd\u003cbr\u003e 6. Percolation beyond Zd\u003cbr\u003e 7. The topology of networks\u003cbr\u003e 8. Models of network evolution and growth\u003cbr\u003e 9. Network sampling\u003cbr\u003e 10. Parametric network models\u003cbr\u003e 11. Graph partitioning: i. graph cuts\u003cbr\u003e 12. Graph partitioning: ii. community detection\u003cbr\u003e 13. Graph partitioning: iii. spectral clustering\u003cbr\u003e 14. Graph partitioning: iv. overlapping communities\u003cbr\u003e 15. Examining network properties\u003cbr\u003e 16. Graphons as limits of networks\u003cbr\u003e 17. Dynamic networks\u003cbr\u003e Index of examples\u003cbr\u003e Author index\u003cbr\u003e Subject index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46002521080088,"sku":"9781108835763","price":51.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781108835763i.jpg?v=1696727248","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/network-models-for-data-science-theory-algorithms-and-applications-hardback-9781108835763","provider":"Freshly Printed Books","version":"1.0","type":"link"}