The graph represents a network of 8,927 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 Saturday, 19 February 2022 at 10:15 UTC.
The requested start date was Saturday, 19 February 2022 at 01:01 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, 25-minute period from Wednesday, 16 February 2022 at 12:00 UTC to Friday, 18 February 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 : 8927
Unique Edges : 4485
Edges With Duplicates : 10934
Total Edges : 15419
Number of Edge Types : 5
Tweet : 3328
Retweet : 4666
MentionsInRetweet : 5060
Mentions : 1857
Replies to : 508
Self-Loops : 3462
Reciprocated Vertex Pair Ratio : 0.00520910849828844
Reciprocated Edge Ratio : 0.010364228605271
Connected Components : 2779
Single-Vertex Connected Components : 1342
Maximum Vertices in a Connected Component : 1344
Maximum Edges in a Connected Component : 2932
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 9.50169
Graph Density : 8.47615010400916E-05
Modularity : 0.511331
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,927 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 Saturday, 19 February 2022 at 10:15 UTC.
The requested start date was Saturday, 19 February 2022 at 01:01 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, 25-minute period from Wednesday, 16 February 2022 at 12:00 UTC to Friday, 18 February 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:
[796] covid,19 [270] hong,kong [187] #covid19,#covid_19 [150] #covid_19,#covidー19 [125] #covid19,#coronavirus [124] coronavirus,cases [113] 詳細は下記urlより,#新型コロナウイルス [106] ziet,af [106] af,miljardendeal [106] miljardendeal,hun Top Word Pairs in Tweet in G1:
[242] covid,19 [47] #covid19,#coronavirus [30] coronavirus,pandemic [27] #coronavirus,#covid19 [24] hong,kong [24] contra,coronavirus [24] nuovi,casi [23] namo,app [22] nuevos,casos [21] coronavirus,covid Top Word Pairs in Tweet in G2:
[103] pfizer,ziet [103] ziet,af [103] af,miljardendeal [103] miljardendeal,hun [103] hun,vaccin [103] vaccin,india [103] india,china [103] china,omdat [103] omdat,zij [103] zij,niet Top Word Pairs in Tweet in G3:
[64] 感染者を次々殺す大阪,身を切る改革 [64] 身を切る改革,今日の全国の感染者数は9万5208人 [64] 今日の全国の感染者数は9万5208人,効果の薄いまん防で [64] 効果の薄いまん防で,ひたすらピークアウトを待つが [64] ひたすらピークアウトを待つが,重症者は1469人に増え [64] 重症者は1469人に増え,死者は269人で過去最多を更新 [63] masaru_kaneko,感染者を次々殺す大阪 [63] 死者は269人で過去最多を更新,大阪 [36] 死者200名超が続くのに出口を語り何もしない,全国の感染者数は8万7723人 [36] 全国の感染者数は8万7723人,重症者数は1482人に増え Top Word Pairs in Tweet in G4:
[29] hong,kong [20] covid,19 [16] immune,omicron [15] estimated,73 [15] 73,immune [15] omicron,enough [15] national,guard [15] against,covid [15] intelligence,officials [15] officials,allege Top Word Pairs in Tweet in G5:
[53] comisión,investigación [45] villacís,desconfía [45] desconfía,versión [45] versión,almeida [45] almeida,apoyará [45] apoyará,comisión [45] investigación,propuesta [45] propuesta,oposición [29] oposición,madrid [28] iescolar,villacís Top Word Pairs in Tweet in G6:
[80] coronavirus,cases [80] biggest,one [80] one,day [80] day,increase [73] cases,far [73] far,biggest [53] hong,kong [51] kong,reports [49] reports,116 [49] 116,coronavirus Top Word Pairs in Tweet in G7:
[40] lci,direct [38] direct,#covid19 [31] nouvelle,preuve [31] preuve,flagrante [31] flagrante,l'enfumage [31] l'enfumage,gouvernemental [31] gouvernemental,passe [31] passe,vaccinal [31] vaccinal,attal [31] attal,avoue Top Word Pairs in Tweet in G8:
[18] covid,19 [13] 19,need [13] need,know [12] 18,february [11] know,coronavirus [11] coronavirus,pandemic [11] pandemic,18 [10] wef,covid [6] nu,nog [6] nog,prikpropaganda Top Word Pairs in Tweet in G9:
[16] covid,19 [8] test,positive [8] positive,covid [8] 19,risk [8] risk,becoming [8] becoming,very [8] very,sick [8] sick,contact [8] contact,health [8] health,professional Top Word Pairs in Tweet in G10:
[26] ingresos,hospitalarios [24] gráfico,evolución [24] evolución,ingresos [24] hospitalarios,#coronavirus [24] #coronavirus,#andalucía [24] #andalucía,#covidー19 [21] andaluciajunta,gráfico [19] #coronavirus,#covid19 [13] #españa,#coronavirus [12] #covid19,#coronavirus Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: