The graph represents a network of 673 Twitter users whose recent tweets contained "hydroxychloroquine, information", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2,000 tweets. The network was obtained from Twitter on Sunday, 21 June 2020 at 08:56 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 19-minute period from Friday, 12 June 2020 at 21:48 UTC to Sunday, 21 June 2020 at 07:08 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 : 673
Unique Edges : 772
Edges With Duplicates : 36
Total Edges : 808
Self-Loops : 66
Reciprocated Vertex Pair Ratio : 0.00551724137931034
Reciprocated Edge Ratio : 0.0109739368998628
Connected Components : 111
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 115
Maximum Edges in a Connected Component : 157
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.277442
Graph Density : 0.00161191891318191
Modularity : 0.866366
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 673 Twitter users whose recent tweets contained "hydroxychloroquine, information", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2,000 tweets. The network was obtained from Twitter on Sunday, 21 June 2020 at 08:56 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 19-minute period from Friday, 12 June 2020 at 21:48 UTC to Sunday, 21 June 2020 at 07:08 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 : hydroxychloroquine, information
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in G2:
[68] recovery,trial [68] dosing,information [68] dereklowe,recovery [68] trial,major [68] major,scandal [68] scandal,rivaling [68] rivaling,surgisphere [68] surgisphere,patients [68] patients,received [68] received,substantial Top Word Pairs in Tweet in G3:
[40] article,full [33] full,information [28] information,human [28] human,beings [28] beings,use [28] use,save [28] save,lives [28] lives,lives [28] lives,loved [28] loved,ones Top Word Pairs in Tweet in G4:
[16] fda,warns [16] warns,effectiveness [16] effectiveness,remdesivir [16] remdesivir,reduced [16] reduced,patients [16] patients,taking [16] taking,hydroxychloroquine [16] hydroxychloroquine,love [16] love,god [16] god,stop Top Word Pairs in Tweet in G5:
[45] fauci,swamp [45] covid,19 [45] false,information [45] repeat,fauci [45] swamp,dr [45] dr,fauci [45] swamp,hydroxychloroquine [45] hydroxychloroquine,azithromycin [45] azithromycin,works [45] works,100 Top Word Pairs in Tweet in G6:
[6] new,information [3] emergency,use [3] covid,19 [3] clinical,trials [3] reviewing,new [3] information,large [3] large,clinical [3] trials,agency [3] agency,now [3] now,believes Top Word Pairs in Tweet in G7:
[9] more,reviewing [9] reviewing,new [7] new,information [6] information,large [5] large,clinical [5] clinical,trials [5] trials,agency [5] agency,now [5] now,believes [5] believes,suggested Top Word Pairs in Tweet in G8:
Top Word Pairs in Tweet in G9:
[] high,doses [] information,study [] don,t Top Word Pairs in Tweet in G10:
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