The graph represents a network of 5,955 Twitter users whose recent tweets contained "Coronavirus", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 10:09 UTC.
The tweets in the network were tweeted over the 1096-day, 13-hour, 42-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 15 January 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 : 5955
Unique Edges : 3959
Edges With Duplicates : 9845
Total Edges : 13804
Number of Edge Types : 9
Retweet : 3717
MentionsInRetweet : 5442
Replies to : 964
MentionsInReplyTo : 2151
Mentions : 264
Tweet : 1114
MentionsInQuoteReply : 45
Quote : 75
MentionsInQuote : 32
Self-Loops : 1459
Reciprocated Vertex Pair Ratio : 0.0204968100990905
Reciprocated Edge Ratio : 0.040170258047353
Connected Components : 1057
Single-Vertex Connected Components : 418
Maximum Vertices in a Connected Component : 2301
Maximum Edges in a Connected Component : 6276
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.190455
Graph Density : 0.000212037036253595
Modularity : 0.539617
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,955 Twitter users whose recent tweets contained "Coronavirus", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 10:09 UTC.
The tweets in the network were tweeted over the 1096-day, 13-hour, 42-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 15 January 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 : Coronavirus
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:
[624] mrna,shots [621] friday,afternoon [618] better,time [618] us_fda,americans [618] afternoon,cdcgov [618] know,mrna [618] time,friday [618] cdcgov,us_fda [618] americans,know [617] flsurgeongen,better Top Word Pairs in Tweet in G1:
[599] us_fda,americans [599] mrna,shots [599] cdcgov,us_fda [599] americans,know [599] time,friday [599] afternoon,cdcgov [599] know,mrna [599] better,time [599] friday,afternoon [598] flsurgeongen,better Top Word Pairs in Tweet in G2:
[89] covid,19 [77] 60,000 [29] related,deaths [28] #coronavirus,#covid19 [21] china,reports [20] nearly,60 [20] 000,covid [18] covid,related [16] coronavirus,pandemic [15] reports,60 Top Word Pairs in Tweet in G3:
[304] michael,yeadon [303] dr,michael [303] 000,médicos [303] médicos,incluido [303] 17,000 [303] piden,todas [303] incluido,exvicepresidente [303] pfizer,dr [303] médicos,expertos [303] exvicepresidente,pfizer Top Word Pairs in Tweet in G4:
[261] alarming,information [261] fda,everyone [261] known,two [261] everyone,known [261] information,cdc [261] cdc,fda [261] two,years [260] robertkennedyjr,alarming [12] people,caused [12] shots,tip Top Word Pairs in Tweet in G5:
[105] show,facebook [105] coronavirus,vaccines [104] related,coronavirus [104] attempted,suppress [104] incorrect,content [104] content,related [104] documents,show [104] suppress,incorrect [104] facebook,attempted [103] breitbartnews,documents Top Word Pairs in Tweet in G6:
[107] cdc,fda [105] janvier,2023 [104] sécurité,vaccin [104] covid,anaphylaxie [104] fda,identifient [104] 2023,cdc [104] signaux,sécurité [104] identifient,signaux [104] 13,janvier [104] vaccin,covid Top Word Pairs in Tweet in G7:
[26] masken,weiterhin [26] leitlinien,masken [26] masken,behandlung [26] weiterhin,wichtiges [26] #covid19,leitlinien [26] aktualisiert,#covid19 [26] patientenversorgung,masken [26] behandlung,patientenversorgung [25] rwittenbrink,aktualisiert [19] nutzen,impfung Top Word Pairs in Tweet in G8:
[61] österreich,alle [61] alle,corona [61] corona,gesetze [58] gesetze,abschaffen [58] #österreich,#coronavirus [58] regierung,österreich [58] abschaffen,#österreich [57] tagesschau,regierung [42] schlaganfälle,auslöst [42] mrna,impfstoff Top Word Pairs in Tweet in G9:
[91] cdc,investigating [90] shot,strokes [90] investigating,possible [90] between,pfizer [90] bivalent,shot [90] possible,link [90] link,between [90] strokes,oann [90] pfizer,bivalent [89] stellaescotv,cdc Top Word Pairs in Tweet in G10:
[105] warns,hospitals [105] coronavirus,deaths [105] expert,warns [105] deaths,news [105] hospitals,overcounting [105] covid,expert [105] overcounting,coronavirus [103] jsolomonreports,covid [2] white,house [2] emails,white Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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 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: