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Big Data in Complex and Social Networks.

By: Thai, My T.
Contributor(s): Wu, Weili | Xiong, Hui.
Material type: TextTextSeries: eBooks on Demand.Chapman & Hall/CRC Big Data Series: Publisher: London : CRC Press, 2016Copyright date: ©2017Description: 1 online resource (253 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781315396699.Subject(s): Big dataGenre/Form: Electronic books.Additional physical formats: Print version:: Big Data in Complex and Social NetworksDDC classification: 005.7 LOC classification: QA76.9.B45.B543 2017Online resources: Click here to view this ebook.
Contents:
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- SECTION I: Social Networks and Complex Networks -- CHAPTER 1 Hyperbolic Big Data Analytics within Complex and Social Networks -- CHAPTER 2 Scalable Query and Analysis for Social Networks -- SECTION II: Big Data and Web Intelligence -- CHAPTER 3 Predicting Content Popularity in Social Networks -- CHAPTER 4 Mining User Behaviors in Large Social Networks -- SECTION III: Security and Privacy Issues of Social Networks -- CHAPTER 5 Mining Misinformation in Social Media -- CHAPTER 6 Rumor Spreading and Detection in Online Social Networks -- SECTION IV: Applications -- CHAPTER 7 A Survey on Multilayer Networks and the Applications -- CHAPTER 8 Exploring Legislative Networks in a Multiparty System -- Index.
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Electronic Book UT Tyler Online
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QA76.9.B45.B543 2017 (Browse shelf) http://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=4755924 Available EBC4755924
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QA76.9.B45 -- .B543 2016 Big Data : QA76.9.B45.A67 2017 Applied Biclustering Methods for Big and High-Dimensional Data Using R. QA76.9.B45.B54 2017 Big Data and Smart Service Systems. QA76.9.B45.B543 2017 Big Data in Complex and Social Networks. QA76.9.B45.F874 2016 Big Data Technologies and Applications. QA76.9.B45.H43 2017 Disk-Based Algorithms for Big Data. QA76.9.B45 P375 2016 Big Data War :

Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- SECTION I: Social Networks and Complex Networks -- CHAPTER 1 Hyperbolic Big Data Analytics within Complex and Social Networks -- CHAPTER 2 Scalable Query and Analysis for Social Networks -- SECTION II: Big Data and Web Intelligence -- CHAPTER 3 Predicting Content Popularity in Social Networks -- CHAPTER 4 Mining User Behaviors in Large Social Networks -- SECTION III: Security and Privacy Issues of Social Networks -- CHAPTER 5 Mining Misinformation in Social Media -- CHAPTER 6 Rumor Spreading and Detection in Online Social Networks -- SECTION IV: Applications -- CHAPTER 7 A Survey on Multilayer Networks and the Applications -- CHAPTER 8 Exploring Legislative Networks in a Multiparty System -- Index.

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Author notes provided by Syndetics

<p>Dr. My T. Thai is a UF Research Foundation Professor and Associate Chair for Research in the Department of Computer and Information Sciences and Engineering at the University of Florida. She received her PhD degree in Computer Science from the University of Minnesota in 2005. Her current research interests include algorithms, cybersecurity, and optimization on network science and engineering, including communication networks, smart grids, social networks, and their interdependency. The results of her work have led to 5 books and 120+ articles published in various prestigious journals and conferences on networking and combinatorics.</p> <p>Dr. Weili Wu is a full professor in the Department of Computer Science, University of Texas at Dallas. She received her Ph.D. in 2002 and M.S. in 1998 from Department of Computer Science, University of Minnesota, Twin City. Her current research mainly deals with the general research area of data communication and data management. Her research focuses on the design and analysis of algorithms for optimization problems that occur in wireless networking environments and various database systems. She has published more than 200 research papers in various prestigious journals and conferences.</p> <p>Dr. Hui Xiong is currently a Full Professor of Management Science and Information Systems at Rutgers Business School and the Director of Rutgers Center for Information Assurance at Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), and the ICDM-2011 Best Research Paper Award (2011). Dr. Xiong is a prominent researcher in the areas of business intelligence, data mining, big data, and geographic information systems (GIS). For his outstanding contributions to these areas, he was elected an ACM Distinguished Scientist. He has a distinguished academic record that includes 200+ referred papers.</p>

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