James Cook
Rank: 51 / 4486
45 selected videos
Walkthrough: Using NodeXL to Visualize Twitter Networks
This video, created for the undergraduate social networks course at the University of Maine at Augusta ( http://uma.edu ), uses the example of the Maine Politics hashtag #mepolitics to demonstrate methods for searching, extracting and visualizing twitter relations as social networks using free and open-source NodeXL software ( http://nodexl.codeplex.com ).
Related topics : social network software open source free / social networking visualization software
Social Media Visualization (2012): Sugiyama's Rules and NodeXL
In this video, produced for the undergraduate Analyzing Social Media course at the University of Maine at Augusta, we begin with a consideration of some of Kozo Sugiyama's rules for network graph visualization. But we learn when we deal with real-world Twitter search networks that some of Sugiyama's straight and narrow rules are best when bent a bit. Learn more about the social media certificate at the University of Maine at Augusta by visiting...
Related topics : social media university / social media courses / social media network / social media search / social media media
What are Social Networks?
At the start of an undergraduate course in social network analysis comes this basic but important question: what is a social network, anyway? The answer is stunningly simple. Even though social networks can explain very complicated sorts of social behavior, they are made up of just two basic sorts of objects: things that communicate and the communications that go on between them.
Related topics : social network analysis courses / analysis social network
Uncovering Meaning in Twitter Networks Using NodeXL Pro
This walkthrough video demonstrates one variety of user-friendly social media data mining -- how to uncover meaning in Twitter search networks using the software package NodeXL Pro. Three applications: NodeXL's ready-made Top Ten function, working with word pairs in the text of Tweets to generate semantic networks, and characterizing hashtag overlaps for a more concentrated account of meaning in network form. I work with the example of the hashtag #Paris. Created for the undergraduate social...
Related topics : social network analysis courses / network analysis social media
Introduction to Exploring Social Network Structure with Visualization in R
This video is meant as an introductory excursion into using the research software R to explore social network structure through visualization. Examples of visualization by layout, by node arrangement, and by changing visual node characteristics are provided. Recorded for the University of Maine at Augusta.
Related topics : social networking visualization software / structure of social networks
Excerpt: Sharad Goel on the Virality of Online Diffusion
A 12-minute excerpt from Sharad Goel's keynote talk at the 2013 Social Media and Society conference at Dalhousie University in Halifax, Nova Scotia. In these remarks, Goel discusses his published research paper Goel, Sharad, Duncan J. Watts, and Daniel G. Goldstein. "The structure of online diffusion networks." Proceedings of the 13th ACM Conference on Electronic Commerce. ACM, 2012, available at http://5harad.com/papers/diffusion.pdf. Goel's essential finding: the virality of posts to...
Related topics : social media university / social media conference
Installing NodeXL for Network Analysis: Quick and Simple
This video, produced for the Undergraduate Social Network Analysis course at the University of Maine at Augusta, shows how simple and quick installing NodeXL software can be. Within minutes, you can be entering network information and playing with network visualization.
Related topics : social network analysis courses / social networking visualization software
Thinking About Betweenness Centrality (UMA Social Networks)
Understanding betweenesss centrality in social networks is very important, but can also be a bit tricky to calculate. This video offers a few social networks for you to calculate betweenness centrality with. Follow along with the first two examples and then try it on your own! Note: this video works with Linton C. Freeman's version of betweenness centrality from his classic 1977 paper in Sociometry.
Related topics : social network centrality
Working With Two Mode Social Network Data in R
This video demonstrates two methods for importing and transforming 2-mode network data (also known as bipartite networks or affiliation matrices) in the open-source research program R. Method #1 involves direct input of an affiliation matrix into R, a method good for relatively small matrices. For larger matrices, it's easier to enter affiliation data into a spreadsheet and import a .csv (comma-delimited) file into R. One hypothetical affiliation matrix and one actual affiliation matrix of...
Related topics : social network affiliate program
Two Mode Networks and One Mode Networks
This video defines, discusses, and works through an example of the difference between 2-mode and 1-mode matrices in social network analysis... and how to move from 2 modes to 1. Shot for the University of Maine at Augusta undergraduate social networks course.
Related topics : social network analysis courses