The graph represents a network of 6,490 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 09:01 UTC.
The tweets in the network were tweeted over the 800-day, 8-hour, 53-minute period from Thursday, 26 November 2020 at 16:06 UTC to Sunday, 05 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 : 6490
Unique Edges : 3178
Edges With Duplicates : 11122
Total Edges : 14300
Number of Edge Types : 9
Replies to : 1453
MentionsInReplyTo : 2948
Retweet : 3724
MentionsInRetweet : 4234
Tweet : 1389
Quote : 102
Mentions : 410
MentionsInQuoteReply : 12
MentionsInQuote : 28
Self-Loops : 1689
Reciprocated Vertex Pair Ratio : 0.0213200934579439
Reciprocated Edge Ratio : 0.0417500714898484
Connected Components : 1139
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 3154
Maximum Edges in a Connected Component : 8043
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.836572
Graph Density : 0.000166074577790885
Modularity : 0.498515
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,490 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 09:01 UTC.
The tweets in the network were tweeted over the 800-day, 8-hour, 53-minute period from Thursday, 26 November 2020 at 16:06 UTC to Sunday, 05 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:
[1546] covid,19 [366] healthbyjames,breaking [361] covid,vaccine [218] breaking,cdc [163] 19,vaccine [150] 19,vaccination [148] 19,vaccines [139] covid,vaccines [130] refuse,covid [124] risk,death Top Word Pairs in Tweet in G1:
[367] covid,19 [310] healthbyjames,breaking [111] covid,vaccine [105] refuse,covid [93] breaking,cdc [93] people,refuse [89] begin,tracking [89] cdc,begin [89] tracking,people [86] 19,vaccine Top Word Pairs in Tweet in G2:
[75] covid,19 [65] heart,issues [64] old,sarah [64] sarah,baltner's [64] yr,old [64] please,listen [64] mother,please [64] please,sarah [64] story,please [64] baltner's,mother Top Word Pairs in Tweet in G3:
[48] covid,vaccine [46] covid,19 [43] albert,bourla [43] breaking,news [41] spartajustice,breaking [40] committing,domestic [40] executives,committing [40] domestic,terrorism [40] states,albert [40] top,cardiologist Top Word Pairs in Tweet in G4:
[61] covid,19 [12] covid,vaccine [9] 19,vaccine [8] long,covid [6] 19,pandemic [6] people,more [6] japanese,researchers [5] weather,balloon [5] during,covid [5] side,effects Top Word Pairs in Tweet in G5:
[100] covid,19 [74] 19,vaccination [71] travel,restrictions [70] restrictions,join [70] covid,travel [70] vaccination,covid [70] join,group [33] vaccination,card [14] mrna,vaccines [12] yr,old Top Word Pairs in Tweet in G6:
[73] covid,19 [61] anthony,fauci [61] fauci,50 [61] fairly,certain [61] 50,adults [61] feels,fairly [61] adults,vaccinated [61] certain,see [61] more,covid [61] vaccinated,feels Top Word Pairs in Tweet in G7:
[106] breaking,cdc [102] syndrome,causes [102] system,attack [102] attack,parts [102] linked,covid [102] parts,nervous [102] immune,system [102] admits,syndrome [102] nervous,system [102] system,linked Top Word Pairs in Tweet in G8:
[92] covid,vaccine [86] effects,covid [86] side,effects [86] against,japan [86] file,lawsuit [86] japanese,researchers [86] lawsuit,against [86] researchers,file [86] japan,government [86] covering,side Top Word Pairs in Tweet in G9:
[18] covid,19 [14] aged,care [10] still,represented [10] week,covid [10] cause,death [10] one,seems [10] represented,third [10] anymore,last [10] attention,anymore [10] pandemic,still Top Word Pairs in Tweet in G10:
[49] widely,seen [49] years,covid [49] thanks,widespread [49] maybe,10 [49] widespread,population [49] long,maybe [49] seen,bad [49] cold,thanks [49] bad,cold [49] 10,years Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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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:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: