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October 24th, 2013: NodeXL Social Media Network Analysis Workshop at Arizona State University

13OctMay 7, 2015 By Marc Smith

asu_logo

I will speak about social media networks on October 24th, 2013 at the department of Computer Science at the Arizona State University.

Invited-Talk-Marc-A.-Smith-pdf-copy-662x1024

 

The graph represents a network of 712 Twitter users whose recent tweets contained “@ASU”, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Sunday, 13 October 2013 at 19:56 UTC.

The tweets in the network were tweeted over the 4-day, 21-hour, 47-minute period from Tuesday, 08 October 2013 at 21:48 UTC to Sunday, 13 October 2013 at 19:35 UTC.

There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.

The graph is directed.

The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values

 

This entry was posted in 2013, All posts, Foundation, Measuring social media, Metrics, NodeXL, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Technology, University, Visualization, Workshop and tagged Arizona, ASU, Chart, graph, Lecture, Map, network, NodeXL, SMRF, SNA, Social Media, Social Media Research Foundation, Talk, Training, University, Visualization, workshop. Bookmark the permalink.

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