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, participants, and executive organisations 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 presents fast graphical illustration of relationships of complicated networked info. however it is going extra than different SNA instruments -- NodeXL was once built via a multidisciplinary crew of specialists that compile details reviews, computing device technological know-how, sociology, human-computer interplay, and over two decades of visible analytic thought and data visualization right into a basic instrument 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 staff as much as supply readers with a radical and functional advisor for utilizing the software whereas additionally explaining the advance at the back of every one characteristic. mixing the theoretical with the sensible, this e-book applies particular SNA directions on to NodeXL, however the concept in the back of the implementation might be utilized to any SNA.

To research extra approximately reading Social Media Networks and NodeXL, stopover at the companion site at

*Walks you thru NodeXL, whereas explaining the speculation and improvement in the back of each one step, offering takeaways that could practice to any SNA

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

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

Show description

Read Online or Download Analyzing Social Media Networks with Node: XL. Insights from a Connected World PDF

Best media books

The Death and Life of American Journalism: The Media Revolution That Will Begin the World Again

American journalism is collapsing as newspapers and magazines fail and rankings of journalists are laid off around the nation. traditional knowledge says the net is guilty, yet veteran newshounds and media critics Robert W. McChesney and John Nichols disagree. The concern of yank journalism predates the good Recession and electronic media increase.

The Lolita Effect: The Media Sexualization of Young Girls and What We Can Do About It

Pop culture---and the advertisements that surrounds it---teaches younger boys and girls 5 myths approximately intercourse and sexuality:

-Girls don't decide upon boys, boys decide on girls--but in simple terms attractive women
-There's just one type of sexy--slender, curvy, white attractiveness
-Girls should still paintings to be that kind of horny
-The more youthful a woman is, the sexier she is
-Sexual violence could be scorching
Together, those 5 myths make up the Lolita impression, the mass media traits that paintings to undermine girls' self-confidence, that condone lady objectification, and that tacitly foster intercourse crimes. yet picking out those myths and breaking them down might help ladies discover ways to realize revolutionary and fit sexuality and defend themselves from degrading media rules and sexual vulnerability. within the Lolita impression, Dr. M. Gigi Durham bargains step forward concepts for empowering women to make fit judgements approximately their very own sexuality.

Medienökonomie: Print, Fernsehen und Multimedia (German Edition)

Elementare ? konomische Konzepte werden vorgestellt und auf die Medienbranche angewendet. Printmedien, Radio, Fernsehen und Multimediaanwendungen werden auf ihre ? konomischen Gesetzm? ?igkeiten und ihre Beziehungen untereinander hin analysiert; die examine wird in den Kontext aktueller Geschehnisse in der Medienbranche eingebettet.

Active Media Technology: 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings

This e-book constitutes the refereed complaints of the seventh foreign convention on lively Media expertise, AMT 2011, held in Lanzhou, China, in September 2011. The 30 revised complete papers and six keynote talks have been rigorously reviewed and chosen for inclusion within the booklet. they're grouped in topcial sections on info mining and development research in lively media; lively human-Web interplay and social media; lively internet intelligence purposes; lively multi-agent and community structures; in addition to know-how intelligence.

Extra info for Analyzing Social Media Networks with Node: XL. Insights from a Connected World

Example text

Net I. Getting Started with Analyzing Social Media Networks 34 3. Social Network Analysis chapters will provide a guide to creating maps like these from Twitter and other social media platforms and data sources. For now, let’s consider the major components of a network in a bit more detail. 2 Vertices Vertices, also called nodes, agents, entities, or items, can represent many things. Often they represent people or social structures such as workgroups, teams, organizations, institutions, states, or even countries.

The simplest type of edge, an unweighted edge or binary edge, only indicates if an edge exists or not. For example, a friendship tie between Facebook users either exists or it does not. In contrast, a weighted edge includes values associated with each edge that indicate the strength or frequency of a tie. For example, a weighted edge between two Facebook users may indicate the number of photo comments exchanged or the duration of a friendship. Weighted edges are often represented visually as thicker or darker lines or as more or less opaque lines.

With 400 million users in 2010, many of whom are regularly active, Facebook contains one of the largest machine readable “social graphs” on earth. There are many ways people connect to one another in Facebook, from the obvious “friending” that starts a Facebook relationship, to the many ways people can subsequently interact by writing on one another’s “wall,” indicating that they “like” other people’s content, sending messages, tagging photos, and joining common fan clubs or groups. Facebook and related systems are rich sources of social network data as a result.

Download PDF sample

Rated 4.53 of 5 – based on 22 votes