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Exploring social media with NodeXL Basic training April 15

Posted on by Shalin Hai-Jew

“Exploring Social Media with NodeXL Basic” is a two-hour session that introduces some of the social media data extraction and network graphing functionalities of an open-source and freeware tool NodeXL Basic. This event will be 1:30-3:30 p.m. Friday, April 15, in 401B Hale Library.

SampleGraph
This image shows an example of a network graph with small clusters of individuals in relationships and even smaller motifs.
  • Ever wonder what sorts of #hashtagged conversations may be occurring on Twitter and who the discussants are? Curious about the social networks of particular @accounts on Twitter?
  • Wonder what a public-facing social network looks like on Facebook? A private one?
  • Intrigued by a related tags network from Flickr? An article network on Wikipedia? A video network on YouTube? A user network on YouTube?

Continue reading “Exploring social media with NodeXL Basic training April 15” →

Exploring social media with NodeXL on April 10

Posted on by Shalin Hai-Jew

“Exploring Social Media with NodeXL” is a two-hour session that introduces some of the social media data extraction and network graphing functionalities of NodeXL.  This event will be 1:30-3:30 p.m. Friday, April 10, at 301 Hale Library.

SampleGraph
This image shows an example of a network graph with small clusters of individuals in relationships and even smaller motifs.

Ever wonder what sorts of #hashtagged conversations may be occurring on Twitter and who the discussants are?  Curious about the social networks of particular @accounts on Twitter?

Wonder what a public-facing social network looks like on Facebook?  A private one?

Intrigued by a related tags network from Flickr?  An article network on Wikipedia?  A video network on YouTube?  A user network on YouTube?

Continue reading “Exploring social media with NodeXL on April 10” →

Webinar Jan. 31: Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL

Posted on by Shalin Hai-Jew

Marc A. Smith, chief social scientist at the Connected Action Consulting Group, will be presenting a webinar on “Charting Collections of Connections in Social Media: Creating Maps and  Measures with NodeXL” 1-2:30 p.m. Friday, Jan. 31, in 301 Hale Library.  All are welcome to attend.

#bubble hashtag search on a Twitter graph with motifs identified (a NodeXL graph)

 

Continue reading “Webinar Jan. 31: Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL” →

NodeXL series highlights free tool for data visualization of social media

Posted on by Shalin Hai-Jew

With an abundance of data from social media platforms, various tools have been created to extract data from these sites and then to enable ways to visualize the information.  The graph below is a data crawl of the USGAO account on Twitter (the microblogging site).

An interactive version of the graph above is available.  Users may zoom into the graph and scroll over each of the nodes to view the Twitter account represented.

Continue reading “NodeXL series highlights free tool for data visualization of social media” →

The NodeXL Series: Publishing to the NodeXL Graph Gallery (Part 12)

Posted on by Shalin Hai-Jew

Some graphs and data sets may have value to others.  The NodeXL community presents its work through the NodeXL Graph Gallery.  This entry will point to the steps required to publish to that gallery.

Exporting to the NodeXL Graph Gallery
For this entry, the data set from the hashtag search for #publichealth will be used.  In the NodeXL tab, go to the Export dropdown menu.  Highlight “To NodeXL Graph Gallery…”

Continue reading “The NodeXL Series: Publishing to the NodeXL Graph Gallery (Part 12)” →

The NodeXL Series: Extracting a User Network from Flickr (Part 11)

Posted on by Shalin Hai-Jew

In content networks like Flickr, there may also be social network extractions of user accounts.  This will capture the interrelationships of various individuals that have accounts on the site.  This will show linkages between the various accounts in terms of cross-references.  For this blog entry, we will use NodeXL Excel Template to extract the “USDAgov” user network on Flickr, which is a peer content sharing site including photos and videos.  The “USDAgov” is likely a fairly healthy-sized network, even in a content site, because of its government mandate.

Continue reading “The NodeXL Series: Extracting a User Network from Flickr (Part 11)” →

The NodeXL Series: Conducting a Data Crawl of an “Event Graph” (Part 10)

Posted on by Shalin Hai-Jew

An “event graph” is an emergent social network that is created based on how people interact with each other on a microblogging (or short messaging service) site surrounding an event or conference.  An “event graph” in academia usually refers to a presentation or conference around which a particular hashtag is used to identify Tweets specific to that conference.  Oftentimes, the backchannel chatter is captured as part of the digital artifacts from that conference and stored as part of the digital poster sessions.

Continue reading “The NodeXL Series: Conducting a Data Crawl of an “Event Graph” (Part 10)” →

The NodeXL Series: Using VOSON for Hyperlink Network Analysis (Part 9)

Posted on by Shalin Hai-Jew

The NodeXL add-in is set up to work with a variety of other systems to import data.  These are referred to as Third Party Graph Data Importers in the system.  One of these systems is known as the Virtual Observatory for the Study of Online Networks (VOSON), created by Uberlink  (There is a page which addresses the overlap of NodeXL and VOSON here).

Enabling VOSON Functionality

To add this functionality to NodeXL, go to Uberlink’s main site.  To access the VOSON + NodeXL software release, you need to create a verified account.  Once that has been created, download the appropriate software, and install it per the instructions.

The VOSON System is a web-based software that enables the collection and analysis of online network data.  A human being at Uberlink vets the data crawls.  The VOSON Data Provider for NodeXL enables access to the VOSON hyperlink network data collection services from within NodeXL.  This Data Provider works for both Windows 7 and Windows XP.  Once the latter DLL file has been accessed, it must be downloaded to the PlugIns folder for the NodeXL Excel Template.  (This assumes that the recent versions of Excel and NodeXL have been installed properly.)

Continue reading “The NodeXL Series: Using VOSON for Hyperlink Network Analysis (Part 9)” →

The NodeXL Series: Conducting a Data Crawl of a Facebook Fan Page (Part 8)

Posted on by Shalin Hai-Jew

Facebook is currently the foremost social networking site in the Western world.  Many individuals and entities create fan pages on this social network to be their public-facing side.  The ability to extract information from Facebook requires an authorized account.

To practice this data extraction, this will describe the extraction of the social network around the Hershey’s site on Facebook (https://www.facebook.com/HERSHEYS).  With 5.9 million likes, any crawl will have to be a limited one in order not to overwhelm NodeXL.

Continue reading “The NodeXL Series: Conducting a Data Crawl of a Facebook Fan Page (Part 8)” →

The NodeXL Series: Conducting a Data Extraction of a YouTube Video Network (Part 7)

Posted on by Shalin Hai-Jew

A content network consists of an analysis of related clusters of information.  Social media platforms that enable the sharing of contents align with research into crowd-sourcing and self-organizing behaviors, where individuals working often in isolation or in small groups share contents that benefit people on the whole.  One of the most popular digital content sharing sites is Google’s YouTube, where people may share videos of themselves.

An extraction of a video network is based on the metadata used to label the video contents, and this extraction will result in a related tags crawl.

Cat Videos

A popular meme involves videos of cats and their antics.  A search of cat videos on YouTube surface two talking cats, skydiving cats (filmed in front of a green screen), grumpy cats, cats v. dogs, and other themes.  This huge amount of human attention to cats has led to the phenomena of “catvertising” (using cats in word-of-mouth advertising).  In celebration of this theme, this blog entry will focus on a crawl of “cat” on YouTube.  (Also, “cat” is pretty disambiguated.)

Continue reading “The NodeXL Series: Conducting a Data Extraction of a YouTube Video Network (Part 7)” →