The graph represents a network of 16,569 Twitter users whose recent tweets contained "(Trump OR Merkel OR Macron OR Conte OR Johnson OR Bolsonaro OR Sánchez) (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 Friday, 03 April 2020 at 08:41 UTC.
The tweets in the network were tweeted over the 1-hour, 5-minute period from Friday, 03 April 2020 at 06:29 UTC to Friday, 03 April 2020 at 07:34 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 : 16569
Unique Edges : 21339
Edges With Duplicates : 2562
Total Edges : 23901
Number of Edge Types : 5
Retweet : 12770
Replies to : 1385
Tweet : 3635
MentionsInRetweet : 3893
Mentions : 2218
Self-Loops : 3695
Reciprocated Vertex Pair Ratio : 0.000460876689881196
Reciprocated Edge Ratio : 0.000921328760812817
Connected Components : 1999
Single-Vertex Connected Components : 980
Maximum Vertices in a Connected Component : 12256
Maximum Edges in a Connected Component : 19233
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 6.146374
Graph Density : 7.11691030928445E-05
Modularity : 0.73714
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 16,569 Twitter users whose recent tweets contained "(Trump OR Merkel OR Macron OR Conte OR Johnson OR Bolsonaro OR Sánchez) (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 Friday, 03 April 2020 at 08:41 UTC.
The tweets in the network were tweeted over the 1-hour, 5-minute period from Friday, 03 April 2020 at 06:29 UTC to Friday, 03 April 2020 at 07:34 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 : (Trump OR Merkel OR Macron OR Conte OR Johnson OR Bolsonaro OR Sánchez) (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:
[2842] trump,administration [1759] covid,19 [1552] president,trump [1463] public,health [1402] 000,americans [1376] cost,lives [1298] more,000 [1292] homeland,security [1291] security,committee [1290] days,ago Top Word Pairs in Tweet in G1:
[529] president,trump [244] covid,19 [218] local,restaurants [200] trump,administration [153] doctors,nurses [153] first,responders [145] donald,trump [143] feed,doctors [143] nurses,first [124] trump,campaign Top Word Pairs in Tweet in G2:
[459] trump,administration [257] administration,ended [230] months,before [228] program,aimed [225] before,novel [225] novel,coronavirus [201] began,spreading [201] spreading,wuhan [198] coronavirus,began [187] covid,19 Top Word Pairs in Tweet in G3:
[1011] trump,administration [971] 000,americans [964] public,health [961] homeland,security [961] more,000 [960] fifty,days [960] days,ago [960] ago,attended [960] attended,homeland [960] security,committee Top Word Pairs in Tweet in G4:
[96] covid,19 [68] trump,administration [62] donald,trump [60] white,house [44] coronavirus,response [38] gt,gt [32] covid,cdtv [32] cdtv,covid_19 [32] covid_19,prior [32] prior,jorge Top Word Pairs in Tweet in G5:
[238] president,trump [174] trump,campaign [174] meals,hospitals [169] first,responders [167] feed,doctors [167] doctors,nurses [167] nurses,first [159] donating,meals [154] campaign,anonymously [154] anonymously,donating Top Word Pairs in Tweet in G6:
[322] donald,trump [289] trump,ignored [288] ignored,warnings [285] evidence,clear [285] clear,donald [285] warnings,failed [285] failed,act [285] act,americans [285] americans,paying [285] paying,price Top Word Pairs in Tweet in G7:
[212] boris,johnson [104] 57,year [104] year,old [104] old,nurse [104] nurse,self [104] self,isolating [104] isolating,home [104] home,coronavirus [104] coronavirus,symptoms [104] symptoms,found Top Word Pairs in Tweet in G8:
[160] domestic,plane [160] being,tested [156] trains,getting [150] once,more [150] more,president [150] president,pushed [150] pushed,back [150] back,against [150] against,suggestion [150] suggestion,suspending Top Word Pairs in Tweet in G9:
[467] trump,administration [323] administration,ended [321] months,before [321] before,novel [321] novel,coronavirus [321] program,aimed [320] two,months [320] ended,200 [320] 200,million [316] coronavirus,began Top Word Pairs in Tweet in G10:
[102] president,trump's [101] health,care [97] trump's,claim [97] claim,scarves [97] scarves,work [97] work,better [97] better,masks [97] masks,supported [97] supported,centers [97] centers,disease Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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:
Top Mentioned in G3:
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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: