The graph represents a network of 1,176 Twitter users whose recent tweets contained "fashion metaverse", 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 Tuesday, 21 March 2023 at 00:01 UTC.
The tweets in the network were tweeted over the 3-day, 19-hour, 50-minute period from Friday, 17 March 2023 at 04:04 UTC to Monday, 20 March 2023 at 23:54 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 : 1193
Unique Edges : 2235
Edges With Duplicates : 586
Total Edges : 2821
Self-Loops : 240
Reciprocated Vertex Pair Ratio : 0.0268456375838926
Reciprocated Edge Ratio : 0.0522875816993464
Connected Components : 167
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 668
Maximum Edges in a Connected Component : 1951
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.892789
Graph Density : 0.00161386049494535
Modularity : 0.713611
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,176 Twitter users whose recent tweets contained "fashion metaverse", 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 Tuesday, 21 March 2023 at 00:01 UTC.
The tweets in the network were tweeted over the 3-day, 19-hour, 50-minute period from Friday, 17 March 2023 at 04:04 UTC to Monday, 20 March 2023 at 23:54 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 : fashion metaverse
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Vertex Radius : In-Degree
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