Big data in complex and social networks
Material type:
- 9781498726849
- 005.7 B4
Item type | Current library | Item location | Shelving location | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Vikram Sarabhai Library | Rack 3-A / Slot 84 (0 Floor, West Wing) | General Stacks | 005.7 B4 (Browse shelf(Opens below)) | Available | 199249 |
TABLE OF CONTENTS
SECTION I: Social Networks and Complex Networks
Chapter 1 Hyperbolic Big Data Analytics within Complex and Social Networks
ByEleni Stai, Vasileios Karyotis, Georgios Katsinis, Eirini Eleni Tsiropoulou, Symeon Papavassiliou
Chapter 2 Scalable Query and Analysis for Social Networks
ByTak-Lon (Stephen) Wu, Bingjing Zhang, Clayton Davis, Emilio Ferrara, Alessandro Flammini, Filippo Menczer and Judy Qiu
SECTION II: Big Data and Web Intelligence
Chapter 3 Predicting Content Popularity in Social Networks
Chapter 4 Mining User Behaviors in Large Social Networks
ByMeng Jiang, Peng Cui
SECTION III: Security and Privacy Issues of Social Networks
Chapter 5 Mining Misinformation in Social Media
ByLiang Wu, Fred Morstatter, Xia Hu, Huan Liu
Chapter 6 Rumor Spreading and Detection in Online Social Networks
ByWen Xu, Weili Wu
SECTION IV: Applications
Chapter 7 A Survey on Multilayer Networks and the Applications
ByHuiyuan Zhang, Huiling Zhang, My T. Thai
Chapter 8 Exploring Legislative Networks in a Multiparty System
ByJose Manuel Magallanes
This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.
https://www.crcpress.com/Big-Data-in-Complex-and-Social-Networks/Thai-Wu-Xiong/p/book/9781498726849
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