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Analyzing the Social Web (Englisch) Taschenbuch – 12. März 2013

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Produktinformation

  • Taschenbuch: 290 Seiten
  • Verlag: Morgan Kaufmann (12. März 2013)
  • Sprache: Englisch
  • ISBN-10: 0124055311
  • ISBN-13: 978-0124055315
  • Größe und/oder Gewicht: 19 x 1,7 x 23,5 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 164.574 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

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Produktbeschreibungen

Pressestimmen

"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

Über den Autor und weitere Mitwirkende

Jennifer Golbeck Ph.D Is an Associate Professor in the College of Information Studies and Director of the Human-Computer Interaction Lab at the University of Maryland, College Park. Her research interests include social network and social media analysis, recommender systems, trust on the web, human computer interaction and and how to use social relationships to improve the way people interact with information. She was named as one of IEEE Intelligent System's "Top Ten to Watch", is a Research Fellow in the Web Science Research Initiative and is a sought after speaker on social media

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1 von 1 Kunden fanden die folgende Rezension hilfreich Von Amazon Customer am 17. April 2013
Format: Kindle Edition Verifizierter Kauf
Quite superfical I think...but a good introduction/overview - specially the concepts regarding graph-analysis of a social network..
At least a good starting point if you want to dig into social network analysis. But it will not give you much new insights if you are already used to work in this area.
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Amazon.com: 4 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
OK as an intro to graph analysis 29. Mai 2014
Von DJ Southlove - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
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?
Net Gain 2. Oktober 2014
Von John M. Ford - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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.
Great book for understanding how to analyze social data 30. April 2014
Von QuickSilverX7 - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
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.
Bought for a class 19. Juli 2015
Von Hiram - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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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