Hello evaluation community, I am Johanna Morariu, Director of Innovation Network. Do you like getting something for free? Me too! Using Twitter data of the use of #eval13 I will demonstrate how to get started with network analysis in NodeXL.
Were you at Evaluation 2013 in Washington, DC? Thousands of evaluators converged to talk methods, data, and analysis. It was awesome! And what better way to celebrate an evaluation conference than with more evaluation?!
Social Network Analysis (SNA) is a dataviz approach for data collection, analysis, and reporting. Networks are made up of nodes (often people or organizations) and edges (the relationships or exchanges between nodes). The set of nodes and edges that make up a network form the dataset for SNA.
Cool Trick: There are four basic steps to creating a social network map in NodeXL: get NodeXL, open NodeXL, import data, and visualize. Let’s get started with our analysis of #eval13 SNA! Click here for the interactive step-by-step NodeXL instructions.
The data covers about 8 days (from Tuesday, October 15 @ 7:19p ET through Wednesday, October 23 @ 5:13p).
There were 433 nodes, or 433 Twitter users tweeting with #eval13.
What does that mean in relation to conference attendance? More than 3,000 people attended the conference, so for about every seven people at the conference there was one person who tweeted about the conference. Pretty cool!
There were 2264 edges, or 2264 interactions between Twitter users using #eval13. (Of those, 925 were unique edges.)
- Ann Emery (@annkemery)
- Chris Lysy (@clysy)
- Allison Titcomb (@allisontitcomb)
- Innovation Network (@innonet_eval)
- Jane Davidson (@ejanedavidson)
What do you see when you look at the #eval13 network? To do your own analysis of the dataset, access it here.
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