The graph represents a network of 16,524 Twitter users whose recent tweets contained "corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2 lang:fr", 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, 26 March 2020 at 18:14 UTC.
The tweets in the network were tweeted over the 29-minute period from Thursday, 26 March 2020 at 16:27 UTC to Thursday, 26 March 2020 at 16:56 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 : 16524
Unique Edges : 21646
Edges With Duplicates : 4075
Total Edges : 25721
Number of Edge Types : 5
Retweet : 10196
Replies to : 1045
Tweet : 5280
Mentions : 3682
MentionsInRetweet : 5518
Self-Loops : 5344
Reciprocated Vertex Pair Ratio : 0.00234167664047458
Reciprocated Edge Ratio : 0.00467241200290728
Connected Components : 2702
Single-Vertex Connected Components : 1294
Maximum Vertices in a Connected Component : 11171
Maximum Edges in a Connected Component : 19951
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.791635
Graph Density : 7.0550044066857E-05
Modularity : 0.692794
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 16,524 Twitter users whose recent tweets contained "corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2 lang:fr", 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, 26 March 2020 at 18:14 UTC.
The tweets in the network were tweeted over the 29-minute period from Thursday, 26 March 2020 at 16:27 UTC to Thursday, 26 March 2020 at 16:56 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 : corona OR coronavirus OR covid OR covid-19 OR covid19 OR covid_19 OR ncov19 OR ncov2019 OR 2019ncov OR cov-2 OR sars-cov OR sarscov2 lang:fr
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:
[3901] covid,19 [1351] être,prescrite [1265] peut,être [1242] traitement,covid [1166] prescrite,traitement [1123] l'hydroxychloroquine,peut [1111] merci,olivierveran [1081] l'urgence,sanitaire [1075] cadre,l'urgence [1075] sanitaire,l'hydroxychloroquine Top Word Pairs in Tweet in G1:
[1214] covid,19 [1073] être,prescrite [1008] traitement,covid [992] peut,être [992] merci,olivierveran [985] l'hydroxychloroquine,peut [985] prescrite,traitement [954] cadre,l'urgence [954] l'urgence,sanitaire [954] sanitaire,l'hydroxychloroquine Top Word Pairs in Tweet in G2:
[312] covid,19 [34] contre,covid [27] faire,face [26] #coronavirus,#covid19 [25] lutter,contre [24] face,coronavirus [23] traitement,covid [21] crise,sanitaire [21] #covid2019,#coronavirus [21] contre,coronavirus Top Word Pairs in Tweet in G3:
[358] covid,19 [162] par,semaine [127] tests,par [113] demi,million [112] désormais,demi [112] million,tests [110] taux,mortalité [109] plus,faibles [108] allemagne,annoncé [108] annoncé,effectuer Top Word Pairs in Tweet in G4:
[115] covid,19 [67] #coronavirus,#covid19 [48] peut,être [46] #coronavirus,#question [43] attention,aux [39] ministre,santé [38] santé,libéralise [37] libéralise,l'hydroxychloroquine [35] préavis,grève [34] aux,faux Top Word Pairs in Tweet in G5:
[413] covid,19 [409] ce,matin [407] amie,proche [407] proche,mon [407] mon,grand [407] grand,père [407] père,décédée [407] décédée,ce [407] matin,suites [407] suites,covid Top Word Pairs in Tweet in G6:
[93] covid,19 [29] menacé,mort [29] mort,ses [29] ses,propos [29] propos,chloroquine [27] coronavirus,pr [27] pr,raoult [27] raoult,menacé [24] contre,coronavirus [20] kongo,bololo Top Word Pairs in Tweet in G7:
[242] mdrrr,t'alheure [242] t'alheure,y'a [242] y'a,mec [242] mec,tombé [242] tombé,gare [242] gare,s'est [242] s'est,relevé [242] relevé,dit [242] dit,putain [242] putain,corona Top Word Pairs in Tweet in G8:
[44] covid,19 [40] niveau,européen [25] 000,personnes [25] face,crise [24] cette,crise [23] loyers,parc [23] parc,public [23] aider,plus [23] plus,précaires [23] mesure,concerne Top Word Pairs in Tweet in G9:
[64] #covid19,#covid19fr [64] #covid19fr,#soignants [64] #soignants,#hopitalpublic [64] #hopitalpublic,#dufricpourlhopitalpublic [62] visite,#macron [62] #macron,#mulhouse [61] l'autre,côté [61] côté,barrière [61] barrière,voilà [61] voilà,images Top Word Pairs in Tweet in G10:
[78] préavis,grève [70] services,publics [38] dépose,préavis [36] crise,sanitaire [35] pleine,crise [31] grève,services [29] covid,19 [27] tout,mois [26] mois,avril [25] aujourd,hui 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: