The graph represents a network of 15,054 Twitter users whose recent tweets contained "(Macron OR Merkel OR Conte) (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 08:09 UTC.
The tweets in the network were tweeted over the 18-hour, 0-minute period from Thursday, 02 April 2020 at 13:19 UTC to Friday, 03 April 2020 at 07:19 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 : 15054
Unique Edges : 19842
Edges With Duplicates : 2143
Total Edges : 21985
Number of Edge Types : 5
Tweet : 2263
Retweet : 12794
Mentions : 1592
MentionsInRetweet : 4372
Replies to : 964
Self-Loops : 2367
Reciprocated Vertex Pair Ratio : 0.0016460468326873
Reciprocated Edge Ratio : 0.00328668363019508
Connected Components : 1546
Single-Vertex Connected Components : 840
Maximum Vertices in a Connected Component : 11113
Maximum Edges in a Connected Component : 17771
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.32127
Graph Density : 8.32451258906454E-05
Modularity : 0.757598
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 15,054 Twitter users whose recent tweets contained "(Macron OR Merkel OR Conte) (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 08:09 UTC.
The tweets in the network were tweeted over the 18-hour, 0-minute period from Thursday, 02 April 2020 at 13:19 UTC to Friday, 03 April 2020 at 07:19 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 : (Macron OR Merkel OR Conte) (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:
[1561] covid,19 [1098] #coronavirus,#covid19 [873] #macron,#coronavirus [720] #confinementjour17,#macron [705] 10,jours [695] tourcoing,59 [694] partagez,scène [694] scène,surréaliste [694] surréaliste,tourcoing [694] 59,soignants Top Word Pairs in Tweet in G1:
[271] #coronavirus,#covid19 [255] faire,face [255] par,l'épidémie [253] bâtiment,marché [253] marché,rungis [253] transformé,morgue [252] jours,faire [250] rungis,sera [250] sera,transformé [250] morgue,prochains Top Word Pairs in Tweet in G2:
[264] #gvt,#macron [214] encore,plus [213] viens,d'apprendre [213] d'apprendre,ma [213] ma,soeur [213] soeur,ma [213] ma,belle [213] belle,sœur [213] sœur,sont [213] sont,atteintes Top Word Pairs in Tweet in G3:
[387] #coronavirus,#covid19 [381] #radiosavana,#coronavirus [338] 24,ore [335] #conte,mentito [335] mentito,diretta [335] diretta,fb [335] fb,davanti [335] davanti,60 [335] 60,milioni [335] milioni,italiani Top Word Pairs in Tweet in G4:
[252] #covidー19,#coronavirus [241] #coronakrise,#corona [239] gerade,schreck [239] schreck,fast [239] fast,stuhl [239] stuhl,gefallen [239] gefallen,amtszeit [239] amtszeit,#merkel [239] #merkel,gespräch [239] gespräch,mehr Top Word Pairs in Tweet in G5:
[629] #macron,#coronavirus [539] partagez,scène [539] scène,surréaliste [539] surréaliste,tourcoing [539] tourcoing,59 [539] 59,soignants [539] soignants,révoltent [539] révoltent,marre [539] marre,#confinementjour17 [539] #confinementjour17,#macron Top Word Pairs in Tweet in G6:
[103] covid,19 [46] emmanuel,macron [45] coronavirus,conte [41] open,letter [39] doomsday,cult [37] german,infectologist [37] 19,doomsday [37] cult,open [36] infectologist,decimates [36] decimates,covid Top Word Pairs in Tweet in G7:
[404] covid,19 [367] période,difficile [365] toutes,tous [365] tous,vivez [365] vivez,l'autisme [365] l'autisme,pense [365] pense,très [365] très,fort [365] fort,cette [365] cette,période Top Word Pairs in Tweet in G8:
[533] voici,l' [533] l',#hôpital [533] #hôpital,nightingale [533] nightingale,londres [533] londres,construit [533] construit,10 [533] 10,jours [533] jours,préparer [533] préparer,pic [533] pic,#coronavirus Top Word Pairs in Tweet in G9:
[185] fino,25 [185] 25,febbraio [148] fontana,attacca [148] attacca,conte [148] conte,sul [148] sul,coronavirus [148] coronavirus,ma [148] lombardia,fino [148] febbraio,non [148] non,ordinato Top Word Pairs in Tweet in G10:
[217] #coronavirus,63 [217] 63,reprises [217] reprises,2011 [217] 2011,2018 [217] 2018,commission [217] commission,européenne [217] européenne,recommandé [217] recommandé,aux [217] aux,états [217] états,membres Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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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:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: