The graph represents a network of 7,803 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 08:49 UTC.
The requested start date was Wednesday, 05 August 2020 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, 12-hour, 15-minute period from Sunday, 02 August 2020 at 00:11 UTC to Tuesday, 04 August 2020 at 12:26 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 : 7803
Unique Edges : 3179
Edges With Duplicates : 11727
Total Edges : 14906
Number of Edge Types : 5
Retweet : 5356
MentionsInRetweet : 5809
Replies to : 847
Mentions : 1507
Tweet : 1387
Self-Loops : 1430
Reciprocated Vertex Pair Ratio : 0.00425648771110806
Reciprocated Edge Ratio : 0.00847689362865737
Connected Components : 1200
Single-Vertex Connected Components : 472
Maximum Vertices in a Connected Component : 3376
Maximum Edges in a Connected Component : 7657
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.726591
Graph Density : 0.000120139937895832
Modularity : 0.496091
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,803 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 08:49 UTC.
The requested start date was Wednesday, 05 August 2020 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, 12-hour, 15-minute period from Sunday, 02 August 2020 at 00:11 UTC to Tuesday, 04 August 2020 at 12:26 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 : NCoV
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:
[845] covid,19 [533] wear,mask [514] learn,more [449] #新型コロナウイルス,感染症情報 [443] ibaraki_kouhou,#新型コロナウイルス [442] face,masks [396] fight,against [395] mask,re [395] masks,one [393] one,powerful Top Word Pairs in Tweet in G1:
[379] learn,more [278] risk,#covid19 [276] tested,positive [269] positive,#covid19 [268] stay,home [267] #covid19,symptoms [267] symptoms,stay [267] home,away [267] away,people [267] people,learn Top Word Pairs in Tweet in G2:
[128] covid,19 [54] 2019,ncov [21] nhiễm,ncov [21] learn,more [19] sars,cov [16] risk,severe [16] severe,illness [14] highest,risk [14] illness,covid [14] age,older Top Word Pairs in Tweet in G3:
[449] #新型コロナウイルス,感染症情報 [443] ibaraki_kouhou,#新型コロナウイルス [295] また,同感染症患者6名が退院し [292] 同感染症患者6名が退院し,1名が自宅療養を終えました [161] 本日,新たに14名の新型コロナウイルス感染症患者が確認されました [151] 感染症情報,8月2日 [151] 8月2日,本日 [151] 新たに14名の新型コロナウイルス感染症患者が確認されました,県内で感染が確認された人は322名となります [151] 県内で感染が確認された人は322名となります,また [150] 1名が自宅療養を終えました,#いばらきア Top Word Pairs in Tweet in G4:
[380] mask,re [380] face,masks [380] masks,one [380] one,powerful [380] powerful,weapons [380] weapons,fight [380] fight,against [374] re,public [373] wear,mask [373] public,face Top Word Pairs in Tweet in G5:
[100] síntomas,#covid19 [98] tenido,contacto [98] contacto,estrecho [98] estrecho,alguien [98] alguien,síntomas [98] fiebre,tos [98] tos,dificultad [93] fernando,simón [93] simón,brotes [93] brotes,mayor Top Word Pairs in Tweet in G6:
[8] covid,19 [7] 2019,ncov [3] august,2020 [3] total,cases [3] total,deaths [3] deaths,154 [3] realdonaldtrump,cdc [3] tahkiblanco,davidwohl [3] davidwohl,realdonaldtrump [3] realdonaldtrump,whitehouse Top Word Pairs in Tweet in G7:
[91] wear,mask [87] stay,feet [86] wondering,use [86] use,mask [86] mask,wear [86] mask,public [86] public,setting [86] setting,especially [86] especially,difficult [86] difficult,stay Top Word Pairs in Tweet in G8:
[149] personas,covid [149] covid,19 [149] 19,leve [149] leve,moderado [149] moderado,permanecen [149] permanecen,infecciosas [149] infecciosas,10 [149] 10,días [149] días,inicio [149] inicio,síntomas Top Word Pairs in Tweet in G9:
[14] jersey,age [14] age,stratification [14] stratification,august [13] kerpen,jersey [10] yes,course [10] course,anti [10] anti,school [10] school,advocacy [10] advocacy,anti [10] anti,child Top Word Pairs in Tweet in G10:
[124] fan,més [124] més,proves [123] és,cert [123] cert,ara [123] ara,fan [123] proves,març [123] març,part [123] part,l'augment [123] l'augment,dels [123] dels,casos 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 G5:
Top Replied-To in G6:
Top Replied-To in G9:
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: