The graph represents a network of 5,498 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1038-day, 21-hour, 4-minute period from Tuesday, 07 April 2020 at 03:56 UTC to Friday, 10 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 : 5498
Unique Edges : 2613
Edges With Duplicates : 10236
Total Edges : 12849
Number of Edge Types : 9
Retweet : 4063
MentionsInRetweet : 4794
Tweet : 1043
Replies to : 769
MentionsInReplyTo : 1484
Quote : 123
MentionsInQuoteReply : 15
Mentions : 520
MentionsInQuote : 38
Self-Loops : 1338
Reciprocated Vertex Pair Ratio : 0.00885525680244727
Reciprocated Edge Ratio : 0.017555059048835
Connected Components : 897
Single-Vertex Connected Components : 328
Maximum Vertices in a Connected Component : 2001
Maximum Edges in a Connected Component : 5214
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.001254
Graph Density : 0.000207328935595215
Modularity : 0.507461
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,498 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1038-day, 21-hour, 4-minute period from Tuesday, 07 April 2020 at 03:56 UTC to Friday, 10 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:
[4243] covid,19 [641] 19,debemos [601] contra,covid [336] severo,causado [336] causado,covid [336] agudo,severo [336] debemos,usar [336] respiratorio,agudo [336] usar,mucha [336] síndrome,respiratorio Top Word Pairs in Tweet in G1:
[938] covid,19 [636] 19,debemos [512] contra,covid [334] síndrome,respiratorio [334] debemos,usar [334] severo,causado [334] agudo,severo [334] causado,covid [334] respiratorio,agudo [334] usar,mucha Top Word Pairs in Tweet in G2:
[296] covid,19 [16] 19,vaccine [16] protokol,kesehatan [15] virus,covid [15] booster,dan [13] 19,pandemic [12] contra,covid [10] dan,patuhi [10] patuhi,protokol [9] kesehatan,guna Top Word Pairs in Tweet in G3:
[168] covid,19 [93] funding,virus [93] researchers,approached [93] chinese,researchers [93] similar,covid [93] disturbingly,similar [93] 2018,funding [93] darpa,2018 [93] approached,darpa [93] virus,disturbingly Top Word Pairs in Tweet in G4:
[159] covid,19 [82] 19,countermeasures [81] denisrancourt,discuss [81] discuss,covid [81] countermeasures,such [81] podcast,denisrancourt [81] lockdowns,social [81] recent,podcast [81] watch,recent [81] such,lockdowns Top Word Pairs in Tweet in G5:
[158] covid,19 [74] germany,higher [74] excess,deaths [74] higher,peak [74] 19,pandemic [74] deaths,germany [74] peak,covid [73] one,report [73] pandemic,difference [73] difference,one Top Word Pairs in Tweet in G6:
[58] covid,19 [29] under,control [29] cuba,brought [29] scientists,explain [29] 19,under [29] explain,cuba [29] brought,covid [27] meetjess,scientists [14] respiratory,virus [14] mild,flu Top Word Pairs in Tweet in G7:
[72] covid,19 [35] breaking,pfizer [22] over,women's [22] women's,reproductive [21] pfizer,director [20] project_veritas,breaking [20] director,concerned [20] concerned,over [19] health,covid [19] reproductive,health Top Word Pairs in Tweet in G8:
[93] covid,19 [47] flu,next [47] world,already [47] bioweapon,labs [47] h5n1,bird [47] big,pandemic [47] funded,bioweapon [47] bird,flu [47] hundreds,funded [47] labs,world Top Word Pairs in Tweet in G9:
[95] covid,19 [38] viennent,dévoiler [38] ils,viennent [38] virus,covid [38] par,virus [38] planétaires,par [38] voici,assassins [38] 19,ils [38] dévoiler,reste [38] assassins,planétaires Top Word Pairs in Tweet in G10:
[163] covid,19 [58] 19,vaccines [57] taking,vaccine [56] vaccines,covid [56] letters,without [56] 19,digital [56] without,taking [56] certificate,paper [56] exemption,letters [56] boosters,exemption Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Mentioned in G6:
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: