The graph represents a network of 6,545 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 08:47 UTC.
The tweets in the network were tweeted over the 3793-day, 7-hour, 58-minute period from Friday, 14 September 2012 at 17:02 UTC to Friday, 03 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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.
Author Description
Vertices : 6545
Unique Edges : 4105
Edges With Duplicates : 10372
Total Edges : 14477
Number of Edge Types : 9
Retweet : 3825
MentionsInRetweet : 5182
Replies to : 1082
MentionsInReplyTo : 2517
Tweet : 1179
Mentions : 481
Quote : 130
MentionsInQuoteReply : 31
MentionsInQuote : 50
Self-Loops : 1439
Reciprocated Vertex Pair Ratio : 0.0156450371890228
Reciprocated Edge Ratio : 0.0308080808080808
Connected Components : 1153
Single-Vertex Connected Components : 308
Maximum Vertices in a Connected Component : 3285
Maximum Edges in a Connected Component : 8938
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.16232
Graph Density : 0.000184915041811346
Modularity : 0.529046
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,545 Twitter users whose recent tweets contained "COVID", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 08:47 UTC.
The tweets in the network were tweeted over the 3793-day, 7-hour, 58-minute period from Friday, 14 September 2012 at 17:02 UTC to Friday, 03 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : COVID
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1942] covid,19 [1030] pfizer,director [965] breaking,pfizer [963] concerned,over [963] director,concerned [953] women's,reproductive [950] over,women's [559] project_veritas,breaking [553] 19,vaccinations [545] reproductive,heath Top Word Pairs in Tweet in G1:
[924] covid,19 [874] breaking,pfizer [868] pfizer,director [855] women's,reproductive [852] concerned,over [852] director,concerned [852] over,women's [521] project_veritas,breaking [510] heath,covid [510] reproductive,heath Top Word Pairs in Tweet in G2:
[157] covid,vaccine [141] covid,19 [138] tiffany,dover [135] vaccine,live [135] collapsed,suddenly [135] rescue,baffled [135] tv,collapsed [135] doctors,rushed [135] suddenly,doctors [135] took,covid Top Word Pairs in Tweet in G3:
[153] covid,19 [41] 2020,2021 [40] 19,flu [40] greatest,mysteries [40] one,greatest [40] go,2020 [40] mysteries,covid [40] flu,go [39] kanekoathegreat,one [33] two,years Top Word Pairs in Tweet in G4:
[86] covid,19 [17] pfizer,director [15] director,concerned [15] reproductive,health [15] concerned,over [15] health,covid [13] over,women's [13] women's,reproductive [12] 19,vaccinations [10] public,health Top Word Pairs in Tweet in G5:
[63] covid,vaccine [60] vaccine,requirement [49] international,visitors [46] repthomasmassie,thank [44] requirement,international [43] remove,covid [43] ustravel,vocally [43] 185,remove [43] thank,ustravel [43] vocally,supporting Top Word Pairs in Tweet in G6:
[58] mrna,vaxx [58] pfizer,employee [58] menstrual,cycles [58] holy,smokes [58] abnormality,menstrual [58] causes,abnormality [58] covid,mrna [58] admits,covid [58] smokes,pfizer [58] employee,admits Top Word Pairs in Tweet in G7:
[30] 'little,difference' [27] flu,transmission [27] study,finds [27] makes,'little [27] mask,wearing [27] difference',regarding [27] finds,mask [27] regarding,flu [27] wearing,makes [26] mynbc15,study Top Word Pairs in Tweet in G8:
[37] 600,000 [36] efficacy,based [36] based,78 [36] 78,randomized [36] study,mask [36] peer,reviewed [36] reviewed,study [36] control,trials [36] randomized,control [36] mask,efficacy Top Word Pairs in Tweet in G9:
[81] egg,yolk [81] binding,multiple [81] antibodies,block [81] block,binding [81] multiple,sars [81] yolk,antibodies [81] sars,cov [78] multiple,studies [59] bombshell,report [58] studies,identified Top Word Pairs in Tweet in G10:
[22] dr,peter [22] peter,mccullough [21] face,masks [21] masks,useless [18] mccullough,msnbc's [18] vossoughian,attributing [18] cold,virus [18] pericarditis,common [18] common,cold [18] attributing,myo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: