The graph represents a network of 1,353 Twitter users whose recent tweets contained "Microsoft Education", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 8,000 tweets. The network was obtained from Twitter on Sunday, 03 July 2022 at 17:39 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 43-minute period from Friday, 24 June 2022 at 06:47 UTC to Sunday, 03 July 2022 at 16:30 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 Harel-Koren Fast Multiscale layout algorithm.
Vertices : 1396
Unique Edges : 1648
Edges With Duplicates : 7685
Total Edges : 9333
Self-Loops : 1050
Reciprocated Vertex Pair Ratio : 0.0403128760529483
Reciprocated Edge Ratio : 0.0775014459224986
Connected Components : 240
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 795
Maximum Edges in a Connected Component : 7148
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.528434
Graph Density : 0.000887841349066971
Modularity : 0.18407
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,353 Twitter users whose recent tweets contained "Microsoft Education", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 8,000 tweets. The network was obtained from Twitter on Sunday, 03 July 2022 at 17:39 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 43-minute period from Friday, 24 June 2022 at 06:47 UTC to Sunday, 03 July 2022 at 16:30 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Microsoft Education
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
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