The graph represents a network of 7,118 Twitter users whose recent tweets contained "COVID", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 775-day, 1-hour, 17-minute period from Sunday, 20 December 2020 at 23:43 UTC to Saturday, 04 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 : 7118
Unique Edges : 3857
Edges With Duplicates : 11124
Total Edges : 14981
Number of Edge Types : 9
Retweet : 3355
MentionsInRetweet : 4053
Replies to : 1734
MentionsInReplyTo : 3446
Tweet : 1572
Quote : 174
Mentions : 497
MentionsInQuoteReply : 42
MentionsInQuote : 108
Self-Loops : 1884
Reciprocated Vertex Pair Ratio : 0.0300382304751502
Reciprocated Edge Ratio : 0.0583244962884411
Connected Components : 1504
Single-Vertex Connected Components : 379
Maximum Vertices in a Connected Component : 2928
Maximum Edges in a Connected Component : 7428
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.051486
Graph Density : 0.000148917840661306
Modularity : 0.523705
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,118 Twitter users whose recent tweets contained "COVID", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 775-day, 1-hour, 17-minute period from Sunday, 20 December 2020 at 23:43 UTC to Saturday, 04 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
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:
[1306] covid,19 [228] covid,vaccine [152] 19,vaccines [124] make,infectious [124] infectious,humans [124] covid,engineered [124] engineered,make [123] told,shut [123] humans,told [122] shut,follow Top Word Pairs in Tweet in G1:
[88] covid,19 [20] covid,vaccine [11] attend,schools [11] vaccine,attend [10] require,covid [9] covid,vaccines [8] covid,last [8] 19,vaccine [7] 50,booster [7] 19,pandemic Top Word Pairs in Tweet in G2:
[97] covid,19 [78] healthbyjames,breaking [53] pre,covid [52] past,two [52] compared,pre [52] 'when,see [52] ireland,sees [52] more,deaths [52] deaths,past [52] see,death Top Word Pairs in Tweet in G3:
[111] covid,19 [79] breaking,pfizer [54] over,women's [54] concerned,over [50] women's,reproductive [50] project_veritas,breaking [49] director,concerned [47] pfizer,director [36] mutating,covid [32] pfizer,exploring Top Word Pairs in Tweet in G4:
[110] shut,follow [110] humans,told [110] 'knew,covid [110] make,infectious [110] told,shut [110] engineered,make [110] covid,engineered [110] infectious,humans [109] follow,compl [109] rwmalonemd,'knew Top Word Pairs in Tweet in G5:
[63] covid,19 [51] surveyed,tail [51] food,costs [51] two,years [51] ns,surveyed [51] war,covid [51] years,war [51] costs,ns [51] rising,food [49] battered,two Top Word Pairs in Tweet in G6:
[44] covid,19 [25] 1er,février [25] lorsqu,positif [25] positif,covid [25] depuis,1er [25] isoler,lorsqu [25] février,plus [22] covid,ça [22] besoin,isoler [22] signifie,pouvoirs Top Word Pairs in Tweet in G7:
[84] covid,19 [31] doses,vitamin [31] high,doses [30] happens,administer [30] simply,die [30] patients,simply [30] die,study [30] 19,patients [30] vitamin,severe [30] administer,high Top Word Pairs in Tweet in G8:
[12] covid,19 [6] long,covid [6] type,type [5] budvarcat,meetjess [5] meetjess,ellecreative [5] more,covid [4] uk,ended [4] saved,lives [4] foxnews,covid [4] deaths,population Top Word Pairs in Tweet in G9:
[14] wear,mask [13] covid,death [10] covid,19 [7] australia,having [7] report,australia [7] one,covid [7] covid,weekly [7] mask,everywhere [7] weekly,report [7] covid,deaths Top Word Pairs in Tweet in G10:
[36] covid,19 [22] growing,number [22] refusing,covid [22] 19,booster [22] shots,lot [22] physicians,refusing [22] booster,shots [22] number,physicians [21] p_mcculloughmd,growing [8] positivos,escribió Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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:
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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: