{"product_id":"generating-random-networks-and-graphs-9780198709893","title":"Generating Random Networks and Graphs","description":"Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for theoretical study. This book presents and discusses common methods of generating random graphs. It begins with approaches such as Exponential Random Graph Models, where the targeted probability of each network appearing in the ensemble is specified. This section also includes degree-preserving randomisation algorithms, where the aim is to generate networks with the correct number of links at each node, and care must be taken to avoid introducing a bias. Separately, it looks at growth style algorithms (e.g. preferential attachment) which aim to model a real process and then to analyse the resulting ensemble of graphs. It also covers how to generate special types of graphs including modular graphs, graphs with community structure and temporal graphs. \u003cp\u003e\u003c\/p\u003eThe book is aimed at the graduate student or advanced undergraduate. It includes many worked examples and open questions making it suitable for use in teaching. Explicit pseudocode algorithms are included throughout the book to make the ideas straightforward to apply. \u003cp\u003e\u003c\/p\u003eWith larger and larger datasets, it is crucial to have practical and well-understood tools. Being able to test a hypothesis against a properly specified control case is at the heart of the 'scientific method'. Hence, knowledge on how to generate controlled and unbiased random graph ensembles is vital for anybody wishing to apply network science in their research.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ton Coolen, Alessia Annibale, Ekaterina Roberts\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Oxford University Press, USA\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/23\/2017\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 310\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.75lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.80h x 6.80w x 0.90d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780198709893\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eA.C.C. Coolen, \u003cem\u003eProfessor of Applied Mathematics, Institute for Mathematical and Molecular Biomedicine, King's College London, UK\u003c\/em\u003e, A. Annibale, \u003cem\u003eLecturer in Disordered Systems, Institute for Mathematical and Molecular Biomedicine, King's College London, UK\u003c\/em\u003e, E.S. Roberts, \u003cem\u003eInstitute for Mathematical and Molecular Biomedicine, King's College London, UK\u003c\/em\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eTon Coolen received his PhD in Theoretical Physics from the University of Utrecht, followed by postdoctoral work at Utrecht, Nijmegen and Oxford. Since 1995 he has been working at King's College London. During this time he had developed a special interest in multidisciplinary research. This is expressed firstly through applying his expertise in statistical mechanics to problems including medical survival analysis, cellular signalling networks, econophysics and immunology. He also set up the Institute for Mathematical and Molecular Biomedicine in order to bring together colleagues in biology, medicine, physics, computer science and mathematics to work on developing effective quantitative tools for biomedical researchers. \u003cp\u003e\u003c\/p\u003eAlessia Annibale obtained her undergraduate and Master degrees from the University of Rome \"La Sapienza\" before moving to the Disordered System and Neural Networks group in King's College London to complete her PhD. She has continued to work as a lecturer in King's College London, with papers published on spin glasses, network dynamics and stochastic processes on finitely connected random graphs. She is a member of the Institute for Mathematical and Molecular Biomedicine, and in recent years has taken a particular interest in applying the mathematical tools of disordered systems to understand the properties of biological networks. \u003cp\u003e\u003c\/p\u003eEkaterina Roberts obtained her undergraduate degree from Imperial College, London. After this she worked at the UK's Financial Services Authority, contributing to regulatory policies on how financial institutions should measure and capitalise their credit risk, as well as undertaking direct supervisory oversight of some small banks and insurers. She then joined the Randall Division of Cell and Molecular Biophysics to complete a cross-disciplinary PhD which used statistical mechanics to create tools to analyse random graph ensembles which share topological properties with real molecular networks.\u003cbr\u003e\u003cbr\u003e","brand":"Oxford University Press, USA","offers":[{"title":"Hardcover","offer_id":40937532063859,"sku":"9.7802E+12","price":143.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_122acf19-c3e9-4095-b387-0403928c6eaa.jpg?v=1693314634","url":"https:\/\/bookstorenmore.com\/en-de\/products\/generating-random-networks-and-graphs-9780198709893","provider":"Bookstore N More","version":"1.0","type":"link"}