Prediction and Inference from Social Networks and Social Media is popular PDF and ePub book, written by Jalal Kawash in 2017-03-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Prediction and Inference from Social Networks and Social Media can be Read Online from any device for your convenience.
Prediction and Inference from Social Networks and Social Media Book PDF 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 of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.
Detail Book of Prediction and Inference from Social Networks and Social Media PDF
- Author : Jalal Kawash
- Release : 16 March 2017
- Publisher : Springer
- ISBN : 9783319510491
- Genre : Computers
- Total Page : 231 pages
- Language : English
- PDF File Size : 21,6 Mb
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