The graph represents a network of 7,900 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 Monday, 10 August 2020 at 08:47 UTC.
The requested start date was Monday, 10 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 4-day, 9-hour, 31-minute period from Wednesday, 05 August 2020 at 14:28 UTC to Monday, 10 August 2020 at 00:00 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 : 7900
Unique Edges : 3695
Edges With Duplicates : 11681
Total Edges : 15376
Number of Edge Types : 5
Retweet : 5240
MentionsInRetweet : 5948
Tweet : 1471
Replies to : 866
Mentions : 1851
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.00575013068478829
Reciprocated Edge Ratio : 0.0114345114345114
Connected Components : 1269
Single-Vertex Connected Components : 563
Maximum Vertices in a Connected Component : 3794
Maximum Edges in a Connected Component : 8848
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.284423
Graph Density : 0.000123329182831988
Modularity : 0.49956
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,900 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 Monday, 10 August 2020 at 08:47 UTC.
The requested start date was Monday, 10 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 4-day, 9-hour, 31-minute period from Wednesday, 05 August 2020 at 14:28 UTC to Monday, 10 August 2020 at 00:00 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:
[853] wear,mask [850] æ,ÿæÿ [807] covid,19 [588] ÿæÿ,ç [557] spread,#covid19 [532] ãƒ,ム[524] ãƒ,ペã [518] ペã,ム[516] ãƒ,æ [501] åž,ムTop Word Pairs in Tweet in G1:
[546] wear,mask [394] stay,feet [386] spread,#covid19 [364] mask,public [363] mask,wear [363] public,setting [363] setting,especially [360] especially,difficult [360] difficult,stay [358] wondering,use Top Word Pairs in Tweet in G2:
[187] covid,19 [63] 2019,ncov [46] ãƒ,ム[41] learn,more [27] sars,cov [20] æ,ÿæÿ [20] face,coverings [20] cloth,face [18] risk,severe [18] severe,illness Top Word Pairs in Tweet in G3:
[470] æ,ÿæÿ [469] ÿæÿ,ç [378] #新型コロナウイルス,感染症情報 [375] ibaraki_kouhou,#新型コロナウイルス [314] åž,ム[314] ãƒ,ペã [314] ペã,ム[314] ãƒ,æ [313] ºèª,œã [311] ç,æ Top Word Pairs in Tweet in G4:
[101] higiene,manos [101] manos,medidas [101] medidas,importantes [101] importantes,podemos [101] podemos,tomar [101] tomar,evitar [101] evitar,enfermarnos [101] enfermarnos,transmitir [99] sanidadgob,higiene [94] transmitir,microb Top Word Pairs in Tweet in G5:
[274] very,interesting [274] interesting,#covid19 [274] #covid19,daily [274] daily,reports [274] reports,analyses [274] analyses,spanish [274] spanish,gov [274] gov,one [274] one,intriguing [274] intriguing,slides Top Word Pairs in Tweet in G6:
[260] wear,mask [118] help,prevent [118] prevent,spread [114] spread,#covid19 [113] masks,help [113] #covid19,widely [113] widely,used [113] used,public [113] public,wear [113] mask,help Top Word Pairs in Tweet in G7:
[18] æ,æ [18] ç,æ [15] æ,æµ [9] 2019,ncov [9] ç,ç [7] case,detection [6] brief,summary [6] summary,evidence [6] evidence,lab [6] lab,made Top Word Pairs in Tweet in G8:
[94] 新型コロナウイルスsars,cov [94] cov,2のゲノム分子疫学調査２ [94] 2のゲノム分子疫学調査２,2020 [93] nextrainで見れるゲノム配列の変化,日本は5月下旬以降の登録がないことに注意 [93] 日本は5月下旬以降の登録がないことに注意,4月以降欧州系統が中心に [93] 4月以降欧州系統が中心に,国立感染症研究所 [93] 国立感染症研究所,新型コロナウイルスsars [92] kenmomd,nextrainで見れるゲノム配列の変化 [12] nextstrain,narrative [12] narrative,新型コロナウイルス拡散の遺伝的解析と状況報告 Top Word Pairs in Tweet in G9:
[107] sars,cov [105] chadox1,ncov [105] ncov,19 [104] 19,vaccine [104] vaccine,against [104] against,sars [104] cov,currently [104] currently,undergoing [104] undergoing,human [104] human,clinical Top Word Pairs in Tweet in G10:
[31] daily,infographic [31] infographic,provides [31] provides,quick [31] quick,view [31] view,current [31] current,coronavirus [31] coronavirus,#covid19 [31] #covid19,situation [31] situation,australia [28] healthgovau,daily Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: