The graph represents a network of 5,901 Twitter users whose recent tweets contained "Coronavirus", 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 09:51 UTC.
The tweets in the network were tweeted over the 1510-day, 14-hour, 36-minute period from Saturday, 12 January 2019 at 10:24 UTC to Friday, 03 March 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 : 5901
Unique Edges : 2339
Edges With Duplicates : 10903
Total Edges : 13242
Number of Edge Types : 9
Mentions : 339
Retweet : 3803
MentionsInRetweet : 4435
MentionsInReplyTo : 2451
Replies to : 1034
Tweet : 983
Quote : 83
MentionsInQuoteReply : 73
MentionsInQuote : 41
Self-Loops : 1414
Reciprocated Vertex Pair Ratio : 0.0206372791811128
Reciprocated Edge Ratio : 0.0404399870592041
Connected Components : 1012
Single-Vertex Connected Components : 346
Maximum Vertices in a Connected Component : 2737
Maximum Edges in a Connected Component : 6671
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 8.954734
Graph Density : 0.000177562550443906
Modularity : 0.482741
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,901 Twitter users whose recent tweets contained "Coronavirus", 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 09:51 UTC.
The tweets in the network were tweeted over the 1510-day, 14-hour, 36-minute period from Saturday, 12 January 2019 at 10:24 UTC to Friday, 03 March 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 : Coronavirus
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:
[874] bill,gates [691] involved,creation [690] show,cdc [690] both,china [690] cdc,ownership [690] patents,show [690] ownership,coronavirus [690] coronavirus,both [690] china,involved [662] crimes,patents Top Word Pairs in Tweet in G1:
[644] bill,gates [643] ownership,coronavirus [643] patents,show [643] both,china [643] crimes,patents [643] show,cdc [643] cdc,ownership [643] coronavirus,both [643] china,involved [643] involved,creation Top Word Pairs in Tweet in G2:
[430] britischen,regierung [428] die,#lockdownfiles [428] whatsapp,nachrichten [428] kannte,seit [428] april,2020 [428] 100k,whatsapp [428] nachrichten,britischen [428] regierung,kannte [428] #lockdownfiles,leak [428] seit,april Top Word Pairs in Tweet in G3:
[89] covid,19 [33] #coronavirus,#covid19 [20] perfect,enemy [20] news,perfect [17] coronavirus,pandemic [16] #covid19,#covid_19 [14] 03,02 [12] #coronavirus,#coverage [12] változott,#coronavirus [12] száma,világon Top Word Pairs in Tweet in G4:
[120] origins,coronavirus [119] china,lies [119] accepted,china [119] regarding,origins [119] conspiracy,regarding [119] coronavirus,media [119] democrats,accepted [119] media,democrats [118] sentomcotton,conspiracy [13] praised,chinas Top Word Pairs in Tweet in G5:
[115] school,teachers [115] keir,starmer [115] sir,keir [115] starmer,apologise [115] apologise,families [115] families,000 [115] teachers,died [115] coronavirus,ifs [115] 000,school [115] died,coronavirus Top Word Pairs in Tweet in G6:
[38] times,trump [37] 15,times [34] covid,15 [34] handling,covid [34] chinese,government [34] trump,praise [34] donald,trump [34] praise,chinese [34] government,handling [34] jim_jordan,donald Top Word Pairs in Tweet in G7:
[120] coronavirus,sabemos [120] sabemos,quiénes [120] respecto,criminales [120] miguel,bosé [120] criminales,esconden [120] bosé,respecto [120] detrás,plandemia [120] plandemia,coronavirus [120] esconden,detrás [119] dante27455639,miguel Top Word Pairs in Tweet in G8:
[10] theprogequalist,bidentour [10] lordbutters22,jkoff609 [10] jennie_sc1,murphyyuiko [10] bidentour,jennie_sc1 [9] jkoff609,michellmybell1 [8] bruh50347166,treathunterdog [8] woodcutterbrian,snojusticedad [8] ddskirsch,krispi_largo [8] cow_cousin,adirtyrottendog [8] michellmybell1,civillost Top Word Pairs in Tweet in G9:
[166] bill,gates [79] event,201 [79] gates,held [79] predicted,future [79] gates,predicted [79] lung,attacking [79] future,lung [79] attacking,virus [79] virus,2019 [79] 1997,bill Top Word Pairs in Tweet in G10:
[87] house,coronavirus [86] republicans,obliterated [86] records,house [86] coronavirus,task [86] task,force [86] force,appear [86] obliterated,records [85] kurteichenwald,republicans [85] appear,scrub [9] donald,trump Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: