The graph represents a network of 8,057 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 Sunday, 05 December 2021 at 10:28 UTC.
The requested start date was Sunday, 05 December 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, 11-hour, 52-minute period from Wednesday, 01 December 2021 at 00:33 UTC to Friday, 03 December 2021 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 : 8057
Unique Edges : 4432
Edges With Duplicates : 12839
Total Edges : 17271
Number of Edge Types : 5
Retweet : 4974
MentionsInRetweet : 6119
Replies to : 1553
Tweet : 1069
Mentions : 3556
Self-Loops : 1101
Reciprocated Vertex Pair Ratio : 0.0155841201228529
Reciprocated Edge Ratio : 0.0306899641577061
Connected Components : 978
Single-Vertex Connected Components : 336
Maximum Vertices in a Connected Component : 4435
Maximum Edges in a Connected Component : 12032
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.866799
Graph Density : 0.000137550242506254
Modularity : 0.507086
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,057 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 Sunday, 05 December 2021 at 10:28 UTC.
The requested start date was Sunday, 05 December 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, 11-hour, 52-minute period from Wednesday, 01 December 2021 at 00:33 UTC to Friday, 03 December 2021 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:
[674] covid,19 [399] #covid19,vaccine [356] everyone,ages [344] #新型コロナウイルス,感染症情報 [344] 本日の新規陽性者数,0名 [344] 0名,本日の退院等回復者数 [344] 現在の入院者数,0名 [344] 0名,うち重症者数 [344] うち重症者数,0名 [344] 0名,詳しくはこちらをご覧ください Top Word Pairs in Tweet in G1:
[353] #covid19,vaccine [312] everyone,ages [265] covid,19 [211] ages,years [203] older,booster [201] ages,18 [201] 18,older [200] vaccine,booster [197] booster,doses [196] cdc,strengthening Top Word Pairs in Tweet in G2:
[40] robertopara08,gino_2019_ncov [38] gino_2019_ncov,giberpa [38] peut,être [28] gino_2019_ncov,peut [28] bien,ça [27] zyrs10,remitell [27] remitell,f_philippot [27] f_philippot,upr_asselineau [27] upr_asselineau,laissonslespre1 [27] laissonslespre1,christo36292542 Top Word Pairs in Tweet in G3:
[123] covid,19 [45] ncov,19 [41] chadox1,ncov [34] 19,vaccines [27] sars,cov [26] two,doses [26] safety,immunogenicity [26] randomised,controlled [26] cov,boost [25] uk,cov Top Word Pairs in Tweet in G4:
[66] mid,2020 [65] clear,lineage [65] lineage,leading [65] leading,omicron [65] omicron,old [65] old,possibly [65] possibly,mid [65] 2020,huge [65] huge,amount [65] amount,uncertainty Top Word Pairs in Tweet in G5:
[230] open,windows [230] windows,run [230] run,portable [230] portable,hepa [230] hepa,cleaner [230] cleaner,improve [230] improve,ventilation [230] ventilation,home [230] home,help [230] help,prevent Top Word Pairs in Tweet in G6:
[200] これが石垣議員がいう感染研の比較検証のデータなのですが,実際に検査してみたら抗原検査はct値30以上では陰性と判定されると評価しているのであって [200] 実際に検査してみたら抗原検査はct値30以上では陰性と判定されると評価しているのであって,数字上はその通りだが実際検査してみて遜色ないという厚労省の回答は全く意味不明 [199] derive_ip,これが石垣議員がいう感染研の比較検証のデータなのですが [199] 数字上はその通りだが実際検査してみて遜色ないという厚労省の回答は全く意味不明,しかも抗原検査はガッツ [49] 保健所の検査基準は感染研が決めています,co [49] co,zl2krfouii [49] zl2krfouii,保健所が都道府県の下にあるとはいっても [49] 保健所が都道府県の下にあるとはいっても,感染研の決めた基準を専門家ではない知事が逸脱することはまず無理 [49] 感染研の決めた基準を専門家ではない知事が逸脱することはまず無理,和歌山は例外的にすごい [49] 和歌山は例外的にすごい,なので Top Word Pairs in Tweet in G7:
[180] salutcat,partir [176] partir,d'ara [176] també,pots [176] pots,descarregar [176] descarregar,certificat [175] d'ara,també [175] certificat,vacunal [170] certificat,covid [169] covid,digital [143] info,certificat Top Word Pairs in Tweet in G8:
[344] #新型コロナウイルス,感染症情報 [344] 本日の新規陽性者数,0名 [344] 0名,本日の退院等回復者数 [344] 現在の入院者数,0名 [344] 0名,うち重症者数 [344] うち重症者数,0名 [344] 0名,詳しくはこちらをご覧ください [340] ibaraki_kouhou,#新型コロナウイルス [336] 詳しくはこちらをご覧ください,引 [216] 本日の退院等回復者数,0名 Top Word Pairs in Tweet in G9:
[71] genetic,sequencing [68] sequencing,used [68] used,identify [68] identify,track [68] track,variants [3] goodblackdude,genetic [3] cdc,recently [3] recently,updated [3] updated,estimated [3] estimated,infection Top Word Pairs in Tweet in G10:
[21] bebert701,andylumm [16] rtheatheist,kayvonpaul [16] kayvonpaul,themelyssak [16] themelyssak,bebert701 [16] andylumm,barryjohnreid21 [16] barryjohnreid21,pawley_robert [16] pawley_robert,burgerlab12 [16] burgerlab12,markmcdougall13 [14] 2019,ncov [12] unclebuckj,bill20538001 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 G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: