The graph represents a network of 8,677 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 Monday, 15 August 2022 at 07:14 UTC.
The requested start date was Monday, 15 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 3-day, 0-hour, 14-minute period from Thursday, 11 August 2022 at 12:03 UTC to Sunday, 14 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 : 8677
Unique Edges : 4058
Edges With Duplicates : 12924
Total Edges : 16982
Number of Edge Types : 5
Retweet : 5764
MentionsInRetweet : 6446
Tweet : 2476
Replies to : 494
Mentions : 1802
Self-Loops : 2569
Reciprocated Vertex Pair Ratio : 0.00381970970206264
Reciprocated Edge Ratio : 0.0076103500761035
Connected Components : 2164
Single-Vertex Connected Components : 798
Maximum Vertices in a Connected Component : 570
Maximum Edges in a Connected Component : 2741
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 5.440861
Graph Density : 0.000104726713489231
Modularity : 0.511953
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 8,677 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 Monday, 15 August 2022 at 07:14 UTC.
The requested start date was Monday, 15 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 3-day, 0-hour, 14-minute period from Thursday, 11 August 2022 at 12:03 UTC to Sunday, 14 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:
[5809] covid,19 [765] white,list [458] contra,covid [393] virus,covid [277] open,registration [277] registration,name [277] name,virus [277] total,6000 [277] 6000,single [277] max,mint Top Word Pairs in Tweet in G1:
[745] covid,19 [44] nature's,health [30] contra,covid [27] 19,cases [26] 19,pandemic [22] during,covid [19] 19,vaccine [19] li,rivoti [19] rivoti,faranno [19] faranno,ancora Top Word Pairs in Tweet in G2:
[917] covid,19 [218] contra,covid [179] vtvcanal8,#prevención [147] 19,#covidnoesgripe [121] combate,covid [120] 19,mejor [120] mejor,combinación [120] combinación,mascarilla [120] mascarilla,vacunas [120] vacunas,sé Top Word Pairs in Tweet in G3:
[168] covid,19 [87] bien,plus [86] dr,peter [86] peter,mccullough [86] mccullough,passe [86] passe,quelque [86] quelque,chose [86] chose,très [86] très,très [86] très,gros Top Word Pairs in Tweet in G4:
[180] covid,19 [105] eficácia,hidroxicloroquina [103] harvard,comprova [103] comprova,eficácia [99] 19,mrna [92] estudos,randomizados [92] duplo,cego [88] urgente,harvard [88] hidroxicloroquina,em [88] em,estudos Top Word Pairs in Tweet in G5:
[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 G6:
[97] sukunabikona7,covid [83] covid,19によって親を失った子供の数の推計をインペリアル [83] 19によって親を失った子供の数の推計をインペリアル,カレッジ [83] カレッジ,ロンドンが公表しているのだけれど [83] ロンドンが公表しているのだけれど,日本では片親もしくは両親を亡くした子供は1600名に [18] covid,19 [18] covid,19の入院患者数はこれまでの流行のピークに達し [18] 19の入院患者数はこれまでの流行のピークに達し,重症度の高い患者数も徐々に増加している [18] 重症度の高い患者数も徐々に増加している,そして罹患率は未接種者の高齢者が最も高い [18] そして罹患率は未接種者の高齢者が最も高い,臨床現場の感覚とも一致 Top Word Pairs in Tweet in G7:
[4] covid,19 [3] soifererica,appyman [3] dr_colemami,oldmackisback [3] oldmackisback,scepticalaussie [3] ssz1967,cjsnowdon [3] cjsnowdon,zubymusic [2] stephen1e4,anymous84861064 [2] ravi1236541,breezergalway [2] johnsgunn,stevenwilson777 [2] stevenwilson777,marcucio_lab Top Word Pairs in Tweet in G8:
[36] 凄いデータ,ワクチンの必要性が皆無と言える [36] 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 [36] 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 [36] 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 [36] 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 [36] 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 [35] nunotaku,凄いデータ [35] 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 [34] covid,19 [26] universalsoftw2,covid Top Word Pairs in Tweet in G9:
[86] 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 G10:
[87] covid,19 [47] 19,neurologic [47] neurologic,syndrome [45] common,symptoms [45] symptoms,covid [45] syndrome,reported [45] reported,762 [45] 762,participants [45] participants,follows [45] follows,brain Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: