The graph represents a network of 6,093 Twitter users whose recent tweets contained "COVID-19", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 1102-day, 12-hour, 53-minute period from Saturday, 07 March 2020 at 11:07 UTC to Wednesday, 15 March 2023 at 00:00 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 : 6093
Unique Edges : 2848
Edges With Duplicates : 10430
Total Edges : 13278
Number of Edge Types : 9
Replies to : 930
MentionsInReplyTo : 1859
Tweet : 1259
Retweet : 3910
MentionsInRetweet : 4634
Mentions : 505
MentionsInQuote : 42
Quote : 68
MentionsInQuoteReply : 71
Self-Loops : 1555
Reciprocated Vertex Pair Ratio : 0.0137987012987013
Reciprocated Edge Ratio : 0.0272217774219375
Connected Components : 1203
Single-Vertex Connected Components : 416
Maximum Vertices in a Connected Component : 1265
Maximum Edges in a Connected Component : 3463
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.918661
Graph Density : 0.000168244691415259
Modularity : 0.501222
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,093 Twitter users whose recent tweets contained "COVID-19", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 1102-day, 12-hour, 53-minute period from Saturday, 07 March 2020 at 11:07 UTC to Wednesday, 15 March 2023 at 00:00 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-19
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:
[3941] covid,19 [518] contra,covid [219] 19,vaccines [182] vacunas,contra [182] 19,vaccine [172] april,2020 [169] anders,tegnell [168] sweden's,chief [168] following,different [168] epidemiologist,anders Top Word Pairs in Tweet in G1:
[432] covid,19 [34] 19,pandemic [28] 19,vaccine [24] contra,covid [19] pandemia,covid [16] during,covid [16] coronavirus,covid [16] 19,update [15] pfizer,biontech [13] vaccine,booster Top Word Pairs in Tweet in G2:
[454] covid,19 [212] contra,covid [168] vacunas,contra [146] 19,arribaron [146] millones,vacunas [146] arribaron,venezuela [146] cerca,millones [138] venezuela,#chávezantiimperialista [131] vtvcanal8,cerca [126] afectados,covid Top Word Pairs in Tweet in G3:
[114] covid,19 [83] hijo,presidente [66] josé,ramón [58] mil,pesos [58] 40,mil [56] exclusivo,medicamento [56] remdesivir,exclusivo [56] hijo,amlo [56] costo,casi [56] casi,40 Top Word Pairs in Tweet in G4:
[107] covid,19 [26] 19,vaccines [23] shot,world [23] guidance,recovery [23] took,shot [23] world,renowned [23] doctors,issue [23] renowned,doctors [23] cells,break [23] options,autophagy Top Word Pairs in Tweet in G5:
[303] covid,19 [146] digital,qr [146] certificate,paper [146] click,link [146] vaccines,covid [146] 19,digital [146] paper,card [146] without,taking [146] 19,vaccines [146] qr,certificate Top Word Pairs in Tweet in G6:
[168] covid,19 [168] anders,tegnell [167] epidemiologist,anders [167] chief,epidemiologist [167] sweden,following [167] tegnell,april [167] following,different [167] different,covid [167] sweden's,chief [167] 2020,explaining Top Word Pairs in Tweet in G7:
[62] covid,19 [60] welt,untersucht [60] die,auswirkungen [60] #mecfs,gehirn [60] forscher,griffith [60] stärkste,mrt [60] #covid19,#mecfs [60] mrt,welt [60] gehirn,forscher [60] untersucht,die Top Word Pairs in Tweet in G8:
[78] sucharit,bhakdi [64] hero's,welcome [64] legacy,media [64] germany,legacy [64] bhakdi,receives [64] receives,standing [64] welcome,hometown [64] standing,ovation [64] ovation,hero's [64] dr,sucharit Top Word Pairs in Tweet in G9:
[43] covid,19 [34] immunity,age [34] age,stratified [34] natural,immunity [34] existence,natural [33] acknowledges,existence [33] indirectly,acknowledges [33] icymi,mar3 [33] phac's,naci [33] guidance,indirectly Top Word Pairs in Tweet in G10:
[31] covid,19に無症状感染があることを認めない [31] 一生マスクしてろ,と吐くノーマスクは [31] covid,19が全身感染能を持ち [31] 19に無症状感染があることを認めない,covid [31] と吐くノーマスクは,covid [31] 19が全身感染能を持ち,多臓器疾患を引き起こすことを知らない [31] 多臓器疾患を引き起こすことを知らない,covid [31] covid,19が免疫系に長期間のダメージを与えることを知らない [30] donmatz1959,一生マスクしてろ [30] 19が免疫系に長期間のダメージを与えることを知らない,更 Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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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: