Prediction and Inference from Social Networks and Social Media (Lecture Notes in Social Networks)
暫譯: 社交網絡與社交媒體的預測與推斷(社交網絡講義)

Kawash, J. (Ed), Agarwal, N. (Ed), ?zyer, T. (Ed)

  • 出版商: Springer
  • 出版日期: 2017-03-18
  • 售價: $4,510
  • 貴賓價: 9.5$4,285
  • 語言: 英文
  • 頁數: 225
  • 裝訂: Hardcover
  • ISBN: 3319510487
  • ISBN-13: 9783319510484
  • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書探討社交網絡和社交媒體分析在預測和推斷方面的挑戰。這裡收集的章節通過提出新的分析方法和檢視挖掘大量社交內容的方式來解決這些問題。社交網絡(Social Networks, SNs)已成為我們生活中不可或缺的一部分;它們被用於休閒、商業、政府、醫療和教育等目的,並吸引了數十億的用戶。由於社交網絡的廣泛採用,所帶來的挑戰是巨大的。這些挑戰包括生成現實的社交網絡拓撲、了解用戶活動、主題和趨勢生成、從社交內容中估算用戶屬性以及行為檢測。本書的內容適用於廣泛使用的平台,如 Twitter 和 Facebook,並吸引了該領域的學生、研究人員和專業人士。

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