Analyzing Social Media Networks with Node: XL. Insights from - download pdf or read online

By Derek L. Hansen, Ben Shneiderman and Marc A. Smith (Auth.)

ISBN-10: 0123822297

ISBN-13: 9780123822291

Businesses, marketers, members, and govt businesses alike want to social community research (SNA) instruments for perception into developments, connections, and fluctuations in social media. Microsoft's NodeXL is a unfastened, open-source SNA plug-in to be used with Excel. It presents quick graphical illustration of relationships of complicated networked info. however it is going additional than different SNA instruments -- NodeXL used to be built by means of a multidisciplinary staff of specialists that compile details experiences, desktop technology, sociology, human-computer interplay, and over twenty years of visible analytic thought and data visualization right into a easy software a person can use. This makes NodeXL of curiosity not just to end-users but in addition to researchers and scholars learning visible and community analytics and their program within the actual world.

In Analyzing Social Media Networks with NodeXL, individuals of the NodeXL improvement crew as much as supply readers with a radical and sensible advisor for utilizing the device whereas additionally explaining the improvement at the back of each one characteristic. mixing the theoretical with the sensible, this publication applies particular SNA directions on to NodeXL, however the thought at the back of the implementation may be utilized to any SNA.

To examine extra approximately interpreting Social Media Networks and NodeXL, stopover at the companion site at www.mkp.com/nodexl

*Walks you thru NodeXL, whereas explaining the speculation and improvement in the back of each one step, delivering takeaways which could observe to any SNA

*Demonstrates how visible analytics examine could be utilized to SNA instruments for the mass industry

*Includes case experiences from researchers who use NodeXL on well known networks like e-mail, fb, Twitter, and wikis

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Additional resources for Analyzing Social Media Networks with Node: XL. Insights from a Connected World

Example text

Network scientists have developed a language to describe different types of edges. 5 of Chapter 2, we introduced the core types of connections that occur in social media networks. Here we describe how those concepts map to network and graph theory concepts more generally. Undirected or directed edges are the two major types of connections. Directed edges (also known as asymmetric edges) have a clear origin and destination: money is lent from one person to another, a Twitter user follows another user, an email is sent to a recipient, or a web page links to another web page.

11] T. Berners-Lee, Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web, Harper Paperbacks, 2000. I. A. Adamic, E. Adar, Friends and neighbors on the web, Soc. Networks 25 (3) (2003) 211–230. [13] J. Kelly, B. Etling, Mapping Iran’s Online Public: Politics and Culture in the Persian Blogosphere, Berkman Center Research Publication No. edu/publications/2008/Mapping_Irans_Online_Public. [14] C. Li, J. Bernoff, Groundswell: Winning in a World Transformed by Social Technologies, Harvard Business Review, Boston, MA, 2008.

Riedl, GroupLens: An Open Architecture for Collaborative Filtering of Netnews, in: ACM Conference on Computer Supported Collaborative Work Conference, 10/1994, Chapel Hill, NC, 1994, pp. 175–186. [11] T. Berners-Lee, Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web, Harper Paperbacks, 2000. I. A. Adamic, E. Adar, Friends and neighbors on the web, Soc. Networks 25 (3) (2003) 211–230. [13] J. Kelly, B. Etling, Mapping Iran’s Online Public: Politics and Culture in the Persian Blogosphere, Berkman Center Research Publication No.

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Analyzing Social Media Networks with Node: XL. Insights from a Connected World by Derek L. Hansen, Ben Shneiderman and Marc A. Smith (Auth.)


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