The graph represents a network of 4,904 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 Thursday, 04 June 2020 at 10:01 UTC.
The requested start date was Thursday, 04 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 16-hour, 32-minute period from Monday, 01 June 2020 at 19:49 UTC to Wednesday, 03 June 2020 at 12:21 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 : 4904
Unique Edges : 1980
Edges With Duplicates : 8292
Total Edges : 10272
Number of Edge Types : 5
Replies to : 338
Retweet : 3809
MentionsInRetweet : 4266
Tweet : 993
Mentions : 866
Self-Loops : 1014
Reciprocated Vertex Pair Ratio : 0.0061155630535639
Reciprocated Edge Ratio : 0.0121567805491511
Connected Components : 790
Single-Vertex Connected Components : 376
Maximum Vertices in a Connected Component : 2482
Maximum Edges in a Connected Component : 6546
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.477944
Graph Density : 0.000198425307407423
Modularity : 0.464918
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,904 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 Thursday, 04 June 2020 at 10:01 UTC.
The requested start date was Thursday, 04 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 16-hour, 32-minute period from Monday, 01 June 2020 at 19:49 UTC to Wednesday, 03 June 2020 at 12:21 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 G2:
[355] seguir,parando [355] diferencia,#mascarilla [349] #mascarilla,higiénica [292] higiénica,quirúrgica [288] salir,casa [283] cuál,diferencia [283] quirúrgica,contamos [283] contamos,video [283] video,seguir [283] sanidadgob,cuál Top Word Pairs in Tweet in G3:
[132] covid,19 [126] 2019,ncov [126] june,2020 [126] coronavirus,2019 [125] cloth,face [125] sars,cov [125] total,deaths [125] face,covering [125] sa,ncov [124] learn,more Top Word Pairs in Tweet in G4:
[91] face,covering [61] cover,cough [17] cough,#covid19 [16] #covid19,spreads [15] spreads,respiratory [14] respiratory,droplets [10] droplets,infected [10] infected,person [10] person,coughs [9] coughs,sneezes Top Word Pairs in Tweet in G5:
[147] #covid19,#sarscov2 [117] happy,announce [117] announce,#covid19 [117] #sarscov2,clades [117] clades,live [117] live,ve [117] ve,thought [117] thought,carefully [117] carefully,name [117] name,id Top Word Pairs in Tweet in G6:
[67] #新型コロナウイルス,感染症情報 [59] 本日も,県内で新たな新型コロナウイルス感染症患者は確認されませんでした [59] 詳しくは,県ホームページでご確認ください [59] ibaraki_kouhou,#新型コロナウイルス [59] 県ホームページでご確認ください,#ワンチーム茨城 [59] 県内で新たな新型コロナウイルス感染症患者は確認されませんでした,詳しくは [59] 感染症情報,6月3日 [59] 6月3日,本日も [59] 感染症情報,6月2日 [59] 6月2日,本日も Top Word Pairs in Tweet in G7:
[201] هذة,الطريقة [201] الطريقة,ممتازة [201] ممتازة,وهي [198] وهي,مطابقة [111] مطابقة,لما [110] لما,نصح [98] نصح,به [98] به,ال [91] ال,cdc [91] cdc,تحت Top Word Pairs in Tweet in G8:
[33] covid,19 [33] 19,cases [33] deaths,ronankelly13 [33] ronankelly13,#coronavirus [33] june,2020 [33] 2020,mexico [33] mexico,reports [33] cases,10 [33] flutrackers,mexico [33] brazil,28 Top Word Pairs in Tweet in G9:
[36] june,2020 [16] cdc,covid19 [15] total,cases [15] cases,total [13] total,deaths [11] deaths,104 [11] 104,396 [11] covid19,june [9] 2020,total [8] cases,787 Top Word Pairs in Tweet in G10:
[9] フィリピンの新型コロナはどうかなーって見に行ったら日本より見やすいだけでなくicu含めたベッド稼働率なども一覧できるようになっていた,すごい [9] narumita,フィリピンの新型コロナはどうかなーって見に行ったら日本より見やすいだけでなくicu含めたベッド稼働率なども一覧できるようになっていた [9] 2019,ncov [9] ncov,新型コロナウイルス [9] 輸送マニュアル,2020 [9] 2020,06 [9] 新型コロナウイルス,感染を疑う患者の [8] 感染を疑う患者の,検体採取 [8] 検体採取,輸送マニュアル [8] 06,02 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: