The graph represents a network of 7,833 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 Saturday, 23 January 2021 at 11:21 UTC.
The requested start date was Saturday, 23 January 2021 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, 17-hour, 4-minute period from Tuesday, 19 January 2021 at 20:50 UTC to Friday, 22 January 2021 at 13:54 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 : 7833
Unique Edges : 3436
Edges With Duplicates : 12289
Total Edges : 15725
Number of Edge Types : 5
Mentions : 2026
Retweet : 5215
MentionsInRetweet : 6136
Replies to : 822
Tweet : 1526
Self-Loops : 1556
Reciprocated Vertex Pair Ratio : 0.00427065260910183
Reciprocated Edge Ratio : 0.00850498338870432
Connected Components : 1278
Single-Vertex Connected Components : 544
Maximum Vertices in a Connected Component : 3953
Maximum Edges in a Connected Component : 10099
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.453623
Graph Density : 0.000122660773472594
Modularity : 0.492283
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,833 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 Saturday, 23 January 2021 at 11:21 UTC.
The requested start date was Saturday, 23 January 2021 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, 17-hour, 4-minute period from Tuesday, 19 January 2021 at 20:50 UTC to Friday, 22 January 2021 at 13:54 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:
[1045] covid,19 [436] #新型コロナウイルス,感染症情報 [433] 引き続き,感染症対策にご協力をお願いします [427] ibaraki_kouhou,#新型コロナウイルス [413] 2019,ncov [413] 感染症対策にご協力をお願いします,#いばら [363] fins,febrer [361] dies,més [359] 15,dies [352] més,fins Top Word Pairs in Tweet in G1:
[195] protect,yourself [193] yourself,others [191] others,#covid19 [189] safest,way [189] way,support [189] #covid19,dine [188] ordering,takeout [188] takeout,delivery [188] delivery,safest [188] support,restaurants Top Word Pairs in Tweet in G2:
[219] dosis,administradas [180] 346,100 [149] 15,642 [146] 100,dosis [146] vacunas,frente [145] 025,937 [144] dosis,vacunas [144] frente,#covid [144] #covid,distribuidas [144] distribuidas,ccaa Top Word Pairs in Tweet in G3:
[256] covid,19 [46] learn,more [42] 2019,ncov [32] 19,vaccines [31] 19,vaccine [24] sars,cov [22] 19,vaccination [18] getting,covid [18] united,states [17] protect,yourself Top Word Pairs in Tweet in G4:
[325] fins,febrer [321] 15,dies [321] dies,més [314] allargar,restriccions [314] restriccions,vigents [314] vigents,catalunya [314] catalunya,15 [314] més,fins [313] #procicat,acorda [313] acorda,allargar Top Word Pairs in Tweet in G5:
[433] #新型コロナウイルス,感染症情報 [430] 引き続き,感染症対策にご協力をお願いします [424] ibaraki_kouhou,#新型コロナウイルス [411] 感染症対策にご協力をお願いします,#いばら [263] うち重症者数,11人 [263] 11人,引き続き [165] うち重症者数,12人 [165] 12人,引き続き [163] 本日の死亡者数,0名 [163] 0名,本日の退院等回復者数 Top Word Pairs in Tweet in G6:
[34] nextstrain,gisaid [28] nswhpathology,westsydhealth [28] westsydhealth,sydney_uni [25] thanks,#opendata [25] #opendata,sharing [25] sharing,gisaid [25] gisaid,we've [25] we've,updated [25] #covid19,#sarscov2 [25] #sarscov2,sequences Top Word Pairs in Tweet in G7:
[212] covid,19 [136] negative,covid [115] test,result [90] united,states [82] foreign,country [80] 19,test [70] documentation,recovery [58] 19,viral [57] viral,test [55] within,days Top Word Pairs in Tweet in G8:
[122] #アメリカ,へ渡航される皆様へ [122] へ渡航される皆様へ,渡米前の [122] 渡米前の,#covid19 [122] #covid19,検査陰性証明提示義務が１月２６日より適用されます [122] 検査陰性証明提示義務が１月２６日より適用されます,この規則は今後変更される可能性がありますので [122] この規則は今後変更される可能性がありますので,渡米前に#cdc [122] 渡米前に#cdc,または [122] または,#ハワイ [121] usvisatokyo,#アメリカ [7] covid,19 Top Word Pairs in Tweet in G9:
[51] 医療従事者向け,新型コロナウイルスワクチンのまとめ [51] 新型コロナウイルスワクチンのまとめ,時間が無い人は [51] 時間が無い人は,要点だけで読めばよいです [51] 要点だけで読めばよいです,書いているのは [51] 書いているのは,感染症の世界で信頼できる医師です [50] invesdoctor,医療従事者向け [18] miosugita,こちらのサイトでワクチンに関する情報が整理 [18] こちらのサイトでワクチンに関する情報が整理,アップデートされています [18] アップデートされています,医療従事者向けとありますが [18] 医療従事者向けとありますが,非常に分かりやすく書いてあります Top Word Pairs in Tweet in G10:
[78] #wearamask,more [78] more,layers [78] layers,fabric [78] fabric,over [78] over,nose [78] nose,mouth [78] mouth,help [78] help,slow [78] slow,spread [78] spread,#covid19 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 G6:
Top Replied-To in G7:
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: