The graph represents a network of 5,147 Twitter users whose recent tweets contained "NCoV", 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 10:31 UTC.
The tweets in the network were tweeted over the 1096-day, 13-hour, 41-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 : 5147
Unique Edges : 4566
Edges With Duplicates : 10438
Total Edges : 15004
Number of Edge Types : 8
Retweet : 4539
MentionsInRetweet : 8482
MentionsInReplyTo : 1161
Replies to : 549
Tweet : 177
Mentions : 53
Quote : 13
MentionsInQuoteReply : 30
Self-Loops : 240
Reciprocated Vertex Pair Ratio : 0.00743573401317187
Reciprocated Edge Ratio : 0.0147617039223956
Connected Components : 198
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 4406
Maximum Edges in a Connected Component : 13596
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.957345
Graph Density : 0.000358069718786903
Modularity : 0.497175
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,147 Twitter users whose recent tweets contained "NCoV", 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 10:31 UTC.
The tweets in the network were tweeted over the 1096-day, 13-hour, 41-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 : NCoV
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:
[1593] friday,afternoon [1591] mrna,shots [1590] americans,know [1590] better,time [1590] know,mrna [1590] time,friday [1590] us_fda,americans [1590] cdcgov,us_fda [1590] afternoon,cdcgov [1589] flsurgeongen,better Top Word Pairs in Tweet in G1:
[1519] better,time [1519] mrna,shots [1519] cdcgov,us_fda [1519] know,mrna [1519] americans,know [1519] time,friday [1519] friday,afternoon [1519] afternoon,cdcgov [1519] us_fda,americans [1518] flsurgeongen,better Top Word Pairs in Tweet in G2:
[1029] cdc,fda [1023] alarming,information [1023] fda,everyone [1023] known,two [1023] everyone,known [1023] information,cdc [1023] two,years [1022] robertkennedyjr,alarming [16] vaccine,safety [9] covid,19 Top Word Pairs in Tweet in G3:
[391] cdc,investigating [378] shot,strokes [378] investigating,possible [378] between,pfizer [378] bivalent,shot [378] possible,link [378] link,between [378] strokes,oann [378] pfizer,bivalent [377] stellaescotv,cdc Top Word Pairs in Tweet in G4:
[253] covid,vaccine [252] received,covid [252] investigating,surge [252] surge,incidents [252] incidents,people [252] cdc,investigating [252] vaccine,suffered [252] people,received [251] repandybiggsaz,cdc [14] fda,everyone Top Word Pairs in Tweet in G5:
[36] mouflette16,_2019_ncov [31] _2019_ncov,ai [30] leurs,tenir [30] âgées,ehpad [30] scènes,similaires [30] été,témoin [30] même,demandé [30] personnes,âgées [30] similaires,chez [30] témoin,scènes Top Word Pairs in Tweet in G6:
[207] cdc,fda [191] vaccin,covid [190] janvier,2023 [189] 13,janvier [189] fda,identifient [189] signaux,sécurité [189] sécurité,vaccin [189] covid,anaphylaxie [189] identifient,signaux [189] 2023,cdc Top Word Pairs in Tweet in G7:
[180] schlaganfälle,auslöst [180] mrna,impfstoff [180] auslöst,pei_germany [180] pfizers,bivalenter [180] sieht,kein [180] untersucht,pfizers [180] kein,derartiges [180] impfstoff,schlaganfälle [180] cdc,untersucht [180] bivalenter,mrna Top Word Pairs in Tweet in G8:
[124] investigating,strokes [124] strokes,older [124] announced,investigating [124] cdc,announced [124] caused,covid [124] people,caused [124] shots,tip [124] covid,booster [124] older,people [124] booster,shots Top Word Pairs in Tweet in G9:
[145] myocarditis,young [145] another,day [145] ischemic,stroke [145] possibly,ischemic [145] young,men [145] another,signal [145] signal,myocarditis [145] men,possibly [145] stroke,elderly [145] day,another Top Word Pairs in Tweet in G10:
[5] covid,vaccines [5] covid,19 [4] petersweden7,cdc [4] safety,signal [3] sweetscience75,bml51 [3] actually,read [3] many,systems [3] cdc,many [3] vaccination,practice [3] systems,shows Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: