The graph represents a network of 5,945 Twitter users whose recent tweets contained "COVID-19", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1064-day, 9-hour, 2-minute period from Monday, 16 March 2020 at 15:58 UTC to Tuesday, 14 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5945
Unique Edges : 3047
Edges With Duplicates : 9315
Total Edges : 12362
Number of Edge Types : 9
Retweet : 3581
MentionsInRetweet : 3997
Tweet : 1289
Mentions : 1115
Replies to : 813
MentionsInReplyTo : 1399
MentionsInQuote : 78
Quote : 69
MentionsInQuoteReply : 21
Self-Loops : 1598
Reciprocated Vertex Pair Ratio : 0.0120204182446896
Reciprocated Edge Ratio : 0.02375528799219
Connected Components : 1166
Single-Vertex Connected Components : 458
Maximum Vertices in a Connected Component : 2586
Maximum Edges in a Connected Component : 6192
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 10.06358
Graph Density : 0.000173924953618126
Modularity : 0.527169
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,945 Twitter users whose recent tweets contained "COVID-19", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1064-day, 9-hour, 2-minute period from Monday, 16 March 2020 at 15:58 UTC to Tuesday, 14 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[4163] covid,19 [718] 19,vaccine [430] não,há [409] justificativa,científica [408] há,justificativa [318] conselho,federal [318] federal,medicina [283] máscaras,covid [283] anvisa,ineficácia [283] alerta,anvisa Top Word Pairs in Tweet in G1:
[287] covid,19 [253] anvisa,ineficácia [253] alerta,anvisa [253] máscaras,covid [253] ineficácia,máscaras [253] cfm,alerta [199] revistaoeste,cfm [168] não,há [160] há,justificativa [160] justificativa,científica Top Word Pairs in Tweet in G2:
[408] covid,19 [27] 19,vaccine [22] 19,pandemic [21] 19,origins [19] contra,covid [16] perfect,enemy [14] #covid,19 [13] 19,vaccines [12] positive,covid [12] vacunación,contra Top Word Pairs in Tweet in G3:
[530] covid,19 [529] 19,vaccine [274] 4700,more [273] vaccine,130 [273] funded,covid [273] 130,4700 [272] considering,raising [272] moderna,considering [272] raising,price [272] people,funded Top Word Pairs in Tweet in G4:
[262] conselho,federal [262] federal,medicina [242] recomendação,obrigatoriedade [242] há,justificativa [242] justificativa,científica [242] obrigatoriedade,uso [242] não,há [242] científica,recomendação [242] medicina,não [239] camargodireita,conselho Top Word Pairs in Tweet in G5:
[86] covid,19 [29] startling,10 [29] transplants,america [29] america,performed [29] performed,permanent [29] damage,means [29] lung,transplants [29] #covid19,damage [29] massive,#covid19 [29] permanent,massive Top Word Pairs in Tweet in G6:
[70] covid,19 [32] vaccine,newborns [32] behind,hepatitis [32] shocking,aaron [32] aaron,siri [32] safety,data [32] lack,safety [32] data,behind [32] hepatitis,vaccine [32] covid,vaccines Top Word Pairs in Tweet in G7:
[121] one,third [121] malnutrition,rates [121] acute,malnutrition [121] third,2019 [121] alarmed,malnutrition [121] increased,one [121] malnutrition,increased [121] particularly,alarmed [121] rates,region [121] region,acute Top Word Pairs in Tweet in G8:
[175] covid,19 [86] 19,vaccines [85] card,boosters [85] qr,certificate [85] digital,qr [85] certificate,paper [85] 19,digital [85] paper,card [85] vaccines,covid [84] taking,vaccine Top Word Pairs in Tweet in G9:
[103] covid,19 [73] offers,benefits [73] benefits,leads [73] vaccination,infection [73] infection,covid [73] leads,56 [73] 19,offers [73] 56,higher [73] higher,incidence [73] incidence,severe Top Word Pairs in Tweet in G10:
[49] 腸管,副腎 [49] covid,19に関連した呼吸不全や多臓器不全で死亡した6人から得た120検体のsars [49] リンパ節,心臓 [49] 副腎,精巣 [49] 心臓,腎臓 [49] 肝臓,脾臓 [49] 19に関連した呼吸不全や多臓器不全で死亡した6人から得た120検体のsars,cov [49] 2ウイルスゲノム解析を行ったところ,6人全員で肺以外の臓器 [49] 脾臓,腸管 [49] cov,2ウイルスゲノム解析を行ったところ Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: