The graph represents a network of 2,204 Twitter users whose recent tweets contained "#Bioinformatics", 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 Sunday, 26 September 2021 at 04:23 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 6-minute period from Friday, 17 September 2021 at 03:34 UTC to Sunday, 26 September 2021 at 03:40 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 : 2204
Unique Edges : 5082
Edges With Duplicates : 3726
Total Edges : 8808
Self-Loops : 862
Reciprocated Vertex Pair Ratio : 0.0256951777543119
Reciprocated Edge Ratio : 0.0501029512697323
Connected Components : 44
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 2076
Maximum Edges in a Connected Component : 8628
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.375978
Graph Density : 0.00120031008697099
Modularity : 0.445211
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,204 Twitter users whose recent tweets contained "#Bioinformatics", 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 Sunday, 26 September 2021 at 04:23 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 6-minute period from Friday, 17 September 2021 at 03:34 UTC to Sunday, 26 September 2021 at 03:40 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 : #Bioinformatics
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Vertex Radius : Betweenness Centrality
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