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 govt enterprises alike want to social community research (SNA) instruments for perception into developments, connections, and fluctuations in social media. Microsoft's NodeXL is a loose, open-source SNA plug-in to be used with Excel. It offers immediate graphical illustration of relationships of advanced networked information. however it is going additional than different SNA instruments -- NodeXL was once constructed via a multidisciplinary staff of specialists that assemble info reports, machine technology, sociology, human-computer interplay, and over twenty years of visible analytic conception and data visualization right into a basic instrument a person can use. This makes NodeXL of curiosity not just to end-users but additionally to researchers and scholars learning visible and community analytics and their software within the actual world.

In Analyzing Social Media Networks with NodeXL, individuals of the NodeXL improvement staff as much as supply readers with a radical and functional consultant for utilizing the device whereas additionally explaining the advance at the back of every 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 could be utilized to any SNA.

To study 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 every one step, delivering takeaways which may practice to any SNA

*Demonstrates how visible analytics examine may be utilized to SNA instruments for the mass marketplace

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

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A related set of tools allows users of these sites to filter, search, and sort the accumulated links from many other users. Many users are eager to recall useful material on the web and are often willing to signal their interest or appreciation for certain web sites to others. Sites such as digg refined the idea of sharing bookmarks by adding a voting mechanism to the process to further sort quality content. These services have developed a strong following of users who signal their interest in web sites or blog postings, which are then aggregated and ranked for others to see.

Already we see companies making their services easy to access and digest using small screens and relatively slower network and computing resources. As more users access social media services from mobile devices, new opportunities will emerge. Although we are still in the early stages of mobile-based social media services, some interesting examples exist. Location Sharing, Annotation, and Games Services such as Google Latitude allow users to sense and plot their location on a map and then share that location with other authorized users.

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.

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