The graph represents a network of 69 Twitter users whose recent tweets contained "nebulagenomics", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 05 June 2019 at 14:44 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 39-minute period from Sunday, 26 May 2019 at 15:58 UTC to Wednesday, 05 June 2019 at 13:38 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and 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 Fruchterman-Reingold layout algorithm.
[0] Words in Sentiment List#1: Positive
[0] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry
[0] Non-categorized Words
[0] Total Words
Author Description
Vertices : 69
Unique Edges : 77
Edges With Duplicates : 268
Total Edges : 345
Number of Edge Types : 4
Mentions : 313
Tweet : 3
Retweet : 9
Replies to : 20
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0.0408163265306122
Reciprocated Edge Ratio : 0.0784313725490196
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 68
Maximum Edges in a Connected Component : 344
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.875676
Graph Density : 0.0217391304347826
Modularity : 0.221693
NodeXL Version : 1.0.1.412
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