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

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

Businesses, marketers, members, and executive enterprises alike want to social community research (SNA) instruments for perception into tendencies, connections, and fluctuations in social media. Microsoft's NodeXL is a unfastened, open-source SNA plug-in to be used with Excel. It presents speedy graphical illustration of relationships of complicated networked info. however it is going extra than different SNA instruments -- NodeXL was once constructed by means of a multidisciplinary workforce of specialists that assemble info experiences, desktop technology, sociology, human-computer interplay, and over twenty years of visible analytic idea and data visualization right into a uncomplicated software someone 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 software within the genuine world.

In Analyzing Social Media Networks with NodeXL, individuals of the NodeXL improvement workforce as much as supply readers with an intensive and functional consultant for utilizing the instrument whereas additionally explaining the advance in the back of each one characteristic. mixing the theoretical with the sensible, this ebook applies particular SNA directions on to NodeXL, however the thought at the back of the implementation could be utilized to any SNA.

To examine extra approximately examining 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 at the back of each one step, supplying takeaways which could observe to any SNA

*Demonstrates how visible analytics learn could be utilized to SNA instruments for the mass marketplace

*Includes case stories from researchers who use NodeXL on renowned networks like electronic mail, fb, Twitter, and wikis

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2002). Smart mobs: The next social revolution. Cambridge, MA: Basic Books. Shirky, C. (2008). Here comes everybody: The power of organizing without organizations. New York, NY: The Penguin Press. , & Kollock, P. ), (1999). Communities in Cyberspace. London, UK: Routeledge. D. (2009). Digital Habitats; stewarding technology for communities. Portland, OR: CPsquare. I. 1 Introduction are primordial. Simply stated, a network is a collection of things and their relationships to one another. The “things” that are connected are called nodes, vertices, entities, and in some contexts people.

Local versions of review sites, such as Angie’s List and Yelp, focus on location-based services such as restaurants, shopping, and nightlife, or service providers such as doctors, contractors, and service professionals. , on Yelp), as well as implicit networks when users favorite places or services. They also create networks that connect people who provide similar ratings as others. 9 Idea Generation Organizations are increasingly looking for ways to benefit from the collective intelligence of the masses.

Corporate and government decision makers who are seeking to use social media for advertising and promoting their products and services will be more successful if they learn which mechanism best reaches their desired audience, and what constitutes acceptable etiquette in those communities. 3. In doing so, we highlighted the types of networks each of them create, laying the groundwork for the rest of the book, which will discuss how to gain actionable insights from the analysis and visualization of those networks.

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