The graph represents a network of 8,998 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 07:27 UTC.
The requested start date was Sunday, 14 August 2022 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, 0-hour, 15-minute period from Wednesday, 10 August 2022 at 12:02 UTC to Friday, 12 August 2022 at 12:17 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 : 8998
Unique Edges : 4201
Edges With Duplicates : 12676
Total Edges : 16877
Number of Edge Types : 5
Retweet : 5646
MentionsInRetweet : 6459
Tweet : 2585
Mentions : 1739
Replies to : 448
Self-Loops : 2634
Reciprocated Vertex Pair Ratio : 0.00472300229767679
Reciprocated Edge Ratio : 0.00940160081311142
Connected Components : 2323
Single-Vertex Connected Components : 882
Maximum Vertices in a Connected Component : 560
Maximum Edges in a Connected Component : 1811
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.215958
Graph Density : 9.7226847219306E-05
Modularity : 0.518931
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 8,998 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 07:27 UTC.
The requested start date was Sunday, 14 August 2022 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, 0-hour, 15-minute period from Wednesday, 10 August 2022 at 12:02 UTC to Friday, 12 August 2022 at 12:17 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 : COVID-19
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:
[5862] covid,19 [761] white,list [335] contra,covid [279] virus,covid [257] list,mint [252] list,open [252] open,registration [252] registration,name [252] name,virus [252] 19,nft Top Word Pairs in Tweet in G1:
[833] covid,19 [40] nature's,health [39] 19,pandemic [37] contra,covid [34] 19,vaccine [30] 19,cases [23] kim,jong [22] during,covid [11] casos,covid [11] pandemi,covid Top Word Pairs in Tweet in G2:
[272] covid,19 [131] agora,harvard [131] 19,mrna [123] profilaxia,covid [114] harvard,comprova [114] comprova,eficácia [114] eficácia,hidroxicloroquina [108] vão,dizer [108] dizer,agora [108] meia,boca Top Word Pairs in Tweet in G3:
[572] covid,19 [190] vtvcanal8,#prevención [156] contra,covid [123] #prevención,combate [123] combate,covid [123] 19,mejor [123] mejor,combinación [123] combinación,mascarilla [123] mascarilla,vacunas [123] vacunas,sé Top Word Pairs in Tweet in G4:
[487] white,list [163] list,mint [162] list,open [162] open,registration [162] registration,name [162] name,virus [162] virus,covid [162] covid,19 [162] 19,nft [162] nft,total Top Word Pairs in Tweet in G5:
[74] 凄いデータ,ワクチンの必要性が皆無と言える [74] ワクチンの必要性が皆無と言える,政府やメディアもわかっているはず [74] 政府やメディアもわかっているはず,副反応でたくさん亡くなっているのに [74] 副反応でたくさん亡くなっているのに,浜松市が令和4年1月1日 [74] 浜松市が令和4年1月1日,令和4年8月4日の陽性者のうち [74] 令和4年8月4日の陽性者のうち,ワクチン接種の状況や陽性判明時点の症状が確認できた58 [73] nunotaku,凄いデータ [73] ワクチン接種の状況や陽性判明時点の症状が確認できた58,328件につ [57] covid,19 [35] スウェーデンでcovid,ワクチン Top Word Pairs in Tweet in G6:
[113] covid,19 [42] #covid,19 [29] #sars,cov [19] sars,cov [17] anti,covid [16] 19,#covid [16] #sarscov2,#sars_cov_2 [15] #vaccination,#vaccin [15] #vaccination,#vaccines [14] #vaccin,#vaccines Top Word Pairs in Tweet in G7:
[61] covid,19自宅療養 [61] 19自宅療養,自宅待機にあたって役立ちそうなものをスレッドでまとめておく [61] 自宅待機にあたって役立ちそうなものをスレッドでまとめておく,知って損はないと思うので適当に広めてくれると [60] sukunabikona7,covid [22] 仕事以外でcovid,19に感染した場合でも傷病手当金の対象にはなる [22] 19に感染した場合でも傷病手当金の対象にはなる,これは申請しないと貰えない [21] sukunabikona7,仕事以外でcovid [21] 面白い,学校におけるマスク着用義務を撤廃したことによるcovid [21] 学校におけるマスク着用義務を撤廃したことによるcovid,19感染状況への影響 [21] 19感染状況への影響,preprint Top Word Pairs in Tweet in G8:
[72] covid,19 [23] made,very [23] very,big [23] big,mistake [23] mistake,gave [23] gave,trying [23] trying,control [23] control,covid [23] 19,people [23] people,effects Top Word Pairs in Tweet in G9:
[50] covid,19 [12] longer,recommends [11] cdc,longer [11] recommends,people [11] people,quarantine [11] quarantine,themselves [11] themselves,following [11] following,exposure [11] exposure,someone [11] someone,covid Top Word Pairs in Tweet in G10:
[4] covid,19 [2] mpc_xetts,shocktraumarn [2] shocktraumarn,djchicus [2] djchicus,itsybitsy944 [2] itsybitsy944,aburrallb [2] aburrallb,caejak [2] caejak,getstocked44 [2] getstocked44,mstrixter [2] mstrixter,breezergalway [2] breezergalway,hbthbsar Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: