The graph represents a network of 951 Twitter users whose recent tweets contained "@powerhasheur", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1 000 tweets. The network was obtained from Twitter on Tuesday, 27 July 2021 at 15:28 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 0-minute period from Friday, 23 July 2021 at 16:03 UTC to Tuesday, 27 July 2021 at 15:03 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 Fruchterman-Reingold layout algorithm.
Vertices : 956
Unique Edges : 1730
Edges With Duplicates : 1627
Total Edges : 3357
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0,0486078338839075
Reciprocated Edge Ratio : 0,0927092709270927
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 956
Maximum Edges in a Connected Component : 3357
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,446143
Graph Density : 0,00243378825385003
Modularity : 0,431913
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 951 Twitter users whose recent tweets contained "@powerhasheur", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1 000 tweets. The network was obtained from Twitter on Tuesday, 27 July 2021 at 15:28 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 0-minute period from Friday, 23 July 2021 at 16:03 UTC to Tuesday, 27 July 2021 at 15:03 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : @powerhasheur
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
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