The graph represents a network of 5,452 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1097-day, 13-hour, 37-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Monday, 16 January 2023 at 00:56 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 : 5452
Unique Edges : 5002
Edges With Duplicates : 10815
Total Edges : 15817
Number of Edge Types : 9
Retweet : 4250
MentionsInRetweet : 8141
Replies to : 901
MentionsInReplyTo : 2005
Tweet : 304
Mentions : 91
MentionsInQuoteReply : 90
Quote : 26
MentionsInQuote : 9
Self-Loops : 478
Reciprocated Vertex Pair Ratio : 0.0139506045261961
Reciprocated Edge Ratio : 0.0275173257236038
Connected Components : 345
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 3918
Maximum Edges in a Connected Component : 12531
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.165671
Graph Density : 0.000330160801635272
Modularity : 0.504517
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,452 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1097-day, 13-hour, 37-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Monday, 16 January 2023 at 00:56 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:
[1647] cdcgov,us_fda [1643] friday,afternoon [1641] mrna,shots [1640] americans,know [1640] better,time [1640] know,mrna [1640] time,friday [1640] us_fda,americans [1640] afternoon,cdcgov [1639] flsurgeongen,better Top Word Pairs in Tweet in G1:
[1595] cdcgov,us_fda [1588] us_fda,americans [1588] mrna,shots [1588] americans,know [1588] time,friday [1588] afternoon,cdcgov [1588] know,mrna [1588] better,time [1588] friday,afternoon [1587] flsurgeongen,better Top Word Pairs in Tweet in G2:
[690] cdc,fda [689] everyone,known [689] known,two [689] alarming,information [689] two,years [689] fda,everyone [689] information,cdc [688] robertkennedyjr,alarming [7] cdcgov,us_fda [7] time,friday Top Word Pairs in Tweet in G3:
[293] cdc,fda [281] fda,identifient [281] vaccin,covid [278] janvier,2023 [277] sécurité,vaccin [277] covid,anaphylaxie [277] 2023,cdc [277] signaux,sécurité [277] identifient,signaux [277] 13,janvier Top Word Pairs in Tweet in G4:
[34] damienrieu,bichette2157 [29] mouflette16,_2019_ncov [28] _2019_ncov,ai [26] personnes,âgées [26] scènes,similaires [26] été,témoin [26] similaires,chez [26] leurs,tenir [26] ai,été [26] chez,personnes Top Word Pairs in Tweet in G5:
[184] cdc,investigating [179] possible,link [179] link,between [179] between,pfizer [179] bivalent,shot [179] investigating,possible [179] pfizer,bivalent [179] strokes,oann [179] shot,strokes [178] stellaescotv,cdc Top Word Pairs in Tweet in G6:
[163] schlaganfälle,auslöst [163] mrna,impfstoff [163] auslöst,pei_germany [163] pfizers,bivalenter [163] sieht,kein [163] untersucht,pfizers [163] kein,derartiges [163] impfstoff,schlaganfälle [163] cdc,untersucht [163] bivalenter,mrna Top Word Pairs in Tweet in G7:
[150] surge,incidents [150] covid,vaccine [150] cdc,investigating [150] people,received [150] received,covid [150] investigating,surge [150] vaccine,suffered [150] incidents,people [149] repandybiggsaz,cdc [7] everyone,known Top Word Pairs in Tweet in G8:
[2] troydee,golfergirl2018 [2] carlsmythe,real_seeking [2] richykirsh,lazlowoodbine42 [2] jiminyc24,hampson14jane [2] scary7dr,jtmayes3 [2] joe09396262,zxbxngxz [2] golfergirl2018,carydavid722 [2] tomsirolimus,doritmi [2] lazlowoodbine42,zeetubesii [2] jaytee116james,jaxxdragonan Top Word Pairs in Tweet in G9:
[36] covid,19 [20] vaccine,safety [19] 19,vaccine [18] cdc,fda [17] preliminary,covid [17] safety,signal [16] aged,65 [15] signal,persons [15] identify,preliminary [15] 65,years Top Word Pairs in Tweet in G10:
[91] young,men [91] myocarditis,young [91] stroke,elderly [91] men,possibly [91] possibly,ischemic [91] another,day [91] day,another [91] signal,myocarditis [91] ischemic,stroke [91] another,signal Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
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: