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Author: 上海民立女子中学学生自治会编

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Prediction and Inference from Social Networks and Social Media /

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs)...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Kawash, Jalal; Agarwal, Nitin; zyer, Tansel
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Social Networks,
Subjects:
Computer science
Data mining
User interfaces Computer systems
Computers and civilization
Data Mining and Knowledge Discovery
Applications of Graph Theory and Complex Networks
Computers and Society
User Interfaces and Human Computer Interaction
Online Access: http://dx.doi.org/10.1007/978-3-319-51049-1
Summary: This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness
Carrier Form: 1 online resource (IX, 225 pages) : illustrations.
ISBN: 9783319510491
Index Number: QA76
CLC: TP311.13
Contents: Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structura

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