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15%OFFMark E. Dickison - Multilayer Social Networks - 9781107438750 - V9781107438750
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Multilayer Social Networks

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Description for Multilayer Social Networks paperback. This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing. Num Pages: 208 pages. BIC Classification: UDBS. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 155 x 229 x 15. Weight in Grams: 322.
Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information ... Read more

Product Details

Publisher
Cambridge University Press
Format
Paperback
Publication date
2016
Condition
New
Weight
322g
Number of Pages
208
Place of Publication
Cambridge, United Kingdom
ISBN
9781107438750
SKU
V9781107438750
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-30

About Mark E. Dickison
Mark Dickison is a Data Science Manager at Capital One, where he attempts to put his knowledge of complex systems and technical skills at the forefront of solving business problems while still finding time to stay current with theory. He has been a post-doctoral fellow at Pennsylvania State in their USP program, which supports the US Defense Threat Reduction Agency, ... Read more

Reviews for Multilayer Social Networks
'A well-crafted and clear exposition of the important area of multilayer social networks. The authors skillfully entwine theory and applications to produce a highly readable account of recent research in this ever expanding field. A must have for any network scientist.' Martin Everett, University of Manchester 'A wonderful compendium of methods for multivariate - multirelational, multimodal, multiplex, etc. - networks, ... Read more

Goodreads reviews for Multilayer Social Networks


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