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Analyzing the Social Web (英語) ペーパーバック – 2013/3/12

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内容紹介

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples' relationships. Analyzing the Social Web introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public.

  • Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media.
  • Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network.
  • Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data.
  • Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior.
  • Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book.

レビュー

"This…aims to integrate a number of approaches to social network analysis that have been proposed in a variety of disciplines, such as mathematics, computer science, sociology, and biology, to develop a unified framework…this is a nice introductory textbook for social network analysis, with lots of examples and use cases and a clear explanation of the basic concepts and techniques used in this field."--ComputingReviews.com, November 27, 2013 "Techniques from the natural sciences, social sciences, computer science & mathematics are used to describe and visualize social relationships and quantify connectedness. The utility of such analysis is then explored through case studies, pointing out both the potential malicious use of publicly shared information and pro-social uses of network analysis to combat online dangers."--Reference & Research Book News, October 2013 "…it is a carefully crafted explanation of the subject, made readable through the use of interesting and sometimes entertaining examples of applications to the social web…The book will be of interest to those seeking a largely non-mathematical introduction to network analysis, whether for application to the social web or not."--BCS.org, September 2013 "This is the first book that empowers students from across the disciplines to delve into the secrets of social networks. It is a pedagogic masterpiece in which Jen Golbeck demonstrates her research talent and dedication to teaching."--Jennifer J. Preece, Professor & Dean, College of Information Studies, University of Maryland

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登録情報

  • ペーパーバック: 290ページ
  • 出版社: Morgan Kaufmann; 1版 (2013/3/26)
  • 言語: 英語
  • ISBN-10: 0124055311
  • ISBN-13: 978-0124055315
  • 発売日: 2013/3/12
  • 商品パッケージの寸法: 19 x 1.7 x 23.5 cm
  • おすすめ度: 5つ星のうち 5.0 1 件のカスタマーレビュー
  • Amazon 売れ筋ランキング: 洋書 - 216,959位 (洋書の売れ筋ランキングを見る)
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ソーシャルグラフをコンピュータやSNSのAPI利用で描いてゆくことを考えている人にはわかりやすい入門書です。
事理に詳しく、多分野での利用にも対応しています。どことなくNodeXLでの分析を前提にしている感じがします。
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Amazon.com で最も参考になったカスタマーレビュー (beta) (「Early Reviewer Program」のレビューが含まれている場合があります)

Amazon.com: 5つ星のうち 4.0 5 件のカスタマーレビュー
2 人中、2人の方が、「このレビューが参考になった」と投票しています。
5つ星のうち 3.0 OK as an intro to graph analysis 2014/5/30
投稿者 DJ Southlove - (Amazon.com)
形式: ペーパーバック Amazonで購入
I bought this book after seeing the author's fascinating TED talk from April 2014, and I was hoping it might help me understand how to construct automated personality / intelligence / lifestyle profiles based on data scraped from Facebook, Twitter, etc.
Unfortunately for me, the book is more abstract and introductory; for instance there is little guidance on how to actually obtain social network data to analyze.
If you are already familiar with social graphs, you may not learn much from this book. Moreover, it seems quite padded, with a lot of pages devoted merely to defining graph topology concepts. And there are lots of typos and pagination glitches. If the author and publisher didn't even deem this worth proof-reading thoroughly, who am I to call it a 4- or 5-star work?
5つ星のうち 5.0 Net Gain 2014/10/2
投稿者 John M. Ford - (Amazon.com)
形式: Kindle版 Amazonで購入
Jen Golbeck's textbook is an integrated introduction to the research side of social networking. It combines two perspectives. The first is the technical world of mathematics and computer science; it focuses on the structural properties of networks. Readers learn formal definitions of nodes, edges, and network components; methods for summarizing network structure and relationships between nodes; and how to use software to visualize and explore networks.

The second perspective comes from the social world of anthropology, psychology, and business. Readers learn about different types of interpersonal relationships, the importance of trust and privacy, how information (and disease) spreads through networks, and how information can be summarized across connections to produce recommendations. There are several chapters on how different kinds of organizations use social media and that illustrate practical applications of the ideas introduced in the book. And there is a final summary chapter about the role social networking might play in a zombie apocalypse. Yeah. The author says she is surprised the publisher let her keep it in. But it works.

This is a well-written introductory text. It presents and elaborates key concepts without overwhelming the reader with too much technical detail. It provides references and links to more advanced material. It makes good use of the open-source Gephi network analysis tool, showing readers how to analyze their own Facebook and email connections. The author makes this easy by providing a lot of material on the book's web site--including a set of brief, focused video tutorials on the use of Gephi.

For anyone interested in social network analysis, this is a great place to start. Like the best college professors, the book teaches you what you need to know, helps you master and begin to apply it, and then points you onward to more advanced study. Nicely done. Readers might follow this book with Mining the Social Web, which takes a more technical approach, or with Network Graph Analysis and Visualization with Gephi which focuses on the software.
5つ星のうち 5.0 Five Stars 2017/5/21
投稿者 That guy - (Amazon.com)
形式: ペーパーバック Amazonで購入
Good reference
5つ星のうち 5.0 Great book for understanding how to analyze social data 2014/5/1
投稿者 QuickSilverX7 - (Amazon.com)
形式: ペーパーバック Amazonで購入
If you ever wondered how to analyze big social data sets, this is the book for you. This will also teach you how ideas/infection/etc. spread throughout a network and how relations work within networks. How could a zombie outbreak spread? This book will help you understand that too.
5つ星のうち 4.0 Bought for a class 2015/7/20
投稿者 Hiram - (Amazon.com)
形式: Kindle版 Amazonで購入
Really great book except for the zombies at the end. I'm sure there are better ways to get the point across without hyperbole
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