The graph represents a network of 18,275 Twitter users whose recent tweets contained "(@realdonaldtrump OR @borisjohnson OR @jairbolsonaro) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 02 April 2020 at 12:22 UTC.
The tweets in the network were tweeted over the 4-hour, 15-minute period from Thursday, 02 April 2020 at 07:32 UTC to Thursday, 02 April 2020 at 11:48 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 18275
Unique Edges : 29824
Edges With Duplicates : 9709
Total Edges : 39533
Number of Edge Types : 5
MentionsInRetweet : 22273
Retweet : 2576
Replies to : 4015
Mentions : 10600
Tweet : 69
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.00107962213225371
Reciprocated Edge Ratio : 0.00215691561067673
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 18274
Maximum Edges in a Connected Component : 39532
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.139958
Graph Density : 9.99558775993402E-05
Modularity : 0.590002
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 18,275 Twitter users whose recent tweets contained "(@realdonaldtrump OR @borisjohnson OR @jairbolsonaro) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 02 April 2020 at 12:22 UTC.
The tweets in the network were tweeted over the 4-hour, 15-minute period from Thursday, 02 April 2020 at 07:32 UTC to Thursday, 02 April 2020 at 11:48 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : (@realdonaldtrump OR @borisjohnson OR @jairbolsonaro) (corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR covid2019 OR ncov OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2)
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5554] covid,19 [1178] trabalhadores,informais [1065] combate,ao [988] 28,20 [987] risk,covid19 [986] moment,28 [986] 20,realdonaldtrump [950] pandemia,covid [945] emergencial,600 [944] informais,autônomos Top Word Pairs in Tweet in G1:
[2148] covid,19 [965] moment,28 [965] 28,20 [965] 20,realdonaldtrump [965] risk,covid19 [649] realdonaldtrump,told [647] told,quiet [647] quiet,asked [647] asked,cdc [647] cdc,overestimated Top Word Pairs in Tweet in G2:
[578] protect,nhs [553] staying,home [446] protecting,nhs [432] lives,#stayhomesavelives [428] beat,coronavirus [427] bring,speed [426] update,bring [426] speed,things [426] things,doing [426] doing,protect Top Word Pairs in Tweet in G3:
[455] covid,19 [269] whitehouse,realdonaldtrump [175] realdonaldtrump,secpompeo [175] potus,realdonaldtrump [171] secpompeo,esperdod [159] lie,realdonaldtrump [158] critical,care [157] called,hospital [157] hospital,checked [157] checked,twice Top Word Pairs in Tweet in G4:
[2411] covid,19 [1177] trabalhadores,informais [1063] combate,ao [946] pandemia,covid [945] emergencial,600 [944] informais,autônomos [942] auxílio,emergencial [941] sancionei,projeto [941] projeto,prevê [941] prevê,auxílio Top Word Pairs in Tweet in G5:
[251] realdonaldtrump,vp [133] dear,realdonaldtrump [121] vp,doctors [121] doctors,#neworleans [121] #neworleans,refusing [121] refusing,give [121] give,#hydroxychloroquineandazithromycin [121] #hydroxychloroquineandazithromycin,patients [121] patients,suffering [121] suffering,#covid19 Top Word Pairs in Tweet in G6:
[150] beginning,end [150] end,pandemic [150] pandemic,dr [150] dr,stephen [150] stephen,smith [150] smith,announces [150] announces,hydroxy [150] hydroxy,choloroquine [150] choloroquine,study [150] study,game Top Word Pairs in Tweet in G7:
[14] billbel80925644,tatecharon [14] ds13_manon,cisnez [14] cisnez,cyberspacegod [14] withoutwax4,urylle [14] urylle,mancorrupted [14] mancorrupted,sagmetox [14] sagmetox,pmahart [14] pmahart,spannishchicken [14] jk09648032,johndavid0389 [14] johndavid0389,newus071 Top Word Pairs in Tweet in G8:
[75] covid,19 [32] cured,covid [31] gravityrx,realdonaldtrump [30] hydroxychloroquine,azithromycin [29] realdonaldtrump,dr [29] zinc,sulfate [28] dear,realdonaldtrump [28] murphtoday,cosweda [28] cosweda,gravityrx [27] realdonaldtrump,phone Top Word Pairs in Tweet in G9:
[7] queremos,denunciar [7] denunciar,asesinos [7] asesinos,genocidas [7] genocidas,ante [7] ante,cij_icj [7] cij_icj,presidentes [7] presidentes,realdonaldtrump [7] realdonaldtrump,jairbolsonaro [7] jairbolsonaro,sebastianpinera [7] sebastianpinera,ivanduque Top Word Pairs in Tweet in G10:
[25] corona,virus [10] virus,dear [10] dear,realdonaldtrump [10] realdonaldtrump,world [10] world,large [10] large,nigeria [10] nigeria,turning [10] turning,something [10] something,see [10] see,nigeria Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: