The graph represents a network of 8,379 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 April 2022 at 09:11 UTC.
The requested start date was Sunday, 10 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 47-minute period from Tuesday, 05 April 2022 at 11:38 UTC to Thursday, 07 April 2022 at 12:25 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 : 8379
Unique Edges : 3790
Edges With Duplicates : 11475
Total Edges : 15265
Number of Edge Types : 5
Retweet : 5041
MentionsInRetweet : 5486
Tweet : 2805
Replies to : 447
Mentions : 1486
Self-Loops : 2917
Reciprocated Vertex Pair Ratio : 0.00735404472459853
Reciprocated Edge Ratio : 0.0146007151370679
Connected Components : 2317
Single-Vertex Connected Components : 1152
Maximum Vertices in a Connected Component : 1624
Maximum Edges in a Connected Component : 3889
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 9.359562
Graph Density : 9.56135407805284E-05
Modularity : 0.501049
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,379 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 April 2022 at 09:11 UTC.
The requested start date was Sunday, 10 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 47-minute period from Tuesday, 05 April 2022 at 11:38 UTC to Thursday, 07 April 2022 at 12:25 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 : GraphServerTwitterSearch
Graph Term : Coronavirus
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:
[1200] ãƒ,ム[845] covid,19 [329] ãƒ,ペã [327] àª,ઠ[323] ペã,ム[304] åž,ム[286] ÿæÿ,ç [274] æ,ÿã [268] ç,ºèª [260] æ,æ Top Word Pairs in Tweet in G1:
[160] covid,19 [143] ãƒ,ム[103] àª,ઠ[74] æ,æ [64] coronavirus,cases [50] 26,million [47] ãƒ,æ [45] ø,ø [40] î,î [38] æ,ÿæÿ Top Word Pairs in Tweet in G2:
[99] gibt,neue [95] fast,jeden [95] jeden,tag [95] tag,gibt [95] neue,studien [95] studien,langfristigen [95] langfristigen,schã [95] schã,coronainfektion [95] coronainfektion,jahre [95] jahre,begleiten Top Word Pairs in Tweet in G3:
[104] large,those [104] those,calling [104] calling,#urgencyofnormal [104] #urgencyofnormal,won [104] won,policy [104] policy,debate [104] debate,convincing [104] convincing,nation [104] nation,midst [103] gregggonsalves,large Top Word Pairs in Tweet in G4:
[64] 000,icu [64] icu,beds [59] ramp,000 [55] covid,19 [53] 19,vaccine [47] protection,against [47] against,infection [47] infection,offered [47] offered,fourth [47] fourth,covid Top Word Pairs in Tweet in G5:
[82] coronavirus,covid [82] covid,19 [82] lance,signal [82] signal,pertes [82] pertes,auditives [82] auditives,liã [82] liã,aux [76] aux,vaccins [72] 19,lâ [72] lâ,oms Top Word Pairs in Tweet in G6:
[144] bundestag,rejette [144] rejette,lâ [144] lâ,obligation [144] obligation,vaccination [144] vaccination,contre [144] contre,coronavirus [144] coronavirus,683 [144] 683,suffrages [144] suffrages,exprimã [144] exprimã,296 Top Word Pairs in Tweet in G7:
[683] ãƒ,ム[226] ˆã,šï [220] ç,ºèª [217] æ,ÿã [210] ÿæÿ,ç [210] ˆå,ˆè [207] ç,urlã [207] urlã,ˆã [204] šï,š [203] ãƒ,ペã Top Word Pairs in Tweet in G8:
[66] virus,update [61] ap,virus [37] update,covid [29] update,gop [29] gop,blocks [29] blocks,senate [29] senate,covid [29] covid,bill [29] bill,demands [29] demands,votes Top Word Pairs in Tweet in G9:
[92] recorded,highest [92] highest,number [92] infections,england [81] µ,latest [81] latest,final [81] final,react [81] react,survey [81] survey,recorded [81] number,#coronavirus [81] #coronavirus,infections Top Word Pairs in Tweet in G10:
[31] ene,andere [31] andere,spoedeisende [31] dicht,vanwege [31] vanwege,ziekteverzuim [20] spoedeisende,hulp [20] hulp,dicht [19] willem,engel [19] engel,weer [19] weer,vrije [19] vrije,voeten Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: