The graph represents a network of 5,633 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 989-day, 11-hour, 17-minute period from Wednesday, 29 April 2020 at 13:43 UTC to Saturday, 14 January 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 : 5633
Unique Edges : 2229
Edges With Duplicates : 10326
Total Edges : 12555
Number of Edge Types : 9
Retweet : 4096
MentionsInRetweet : 4517
Tweet : 1038
Replies to : 765
MentionsInReplyTo : 1682
Mentions : 276
Quote : 108
MentionsInQuote : 55
MentionsInQuoteReply : 18
Self-Loops : 1192
Reciprocated Vertex Pair Ratio : 0.00892414476945959
Reciprocated Edge Ratio : 0.0176904176904177
Connected Components : 783
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 3494
Maximum Edges in a Connected Component : 8659
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.25719
Graph Density : 0.000192434648499911
Modularity : 0.48486
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,633 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 989-day, 11-hour, 17-minute period from Wednesday, 29 April 2020 at 13:43 UTC to Saturday, 14 January 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:
[4620] covid,19 [1804] 19,vaccines [1335] breaking,cdc [1211] safety,concern [862] concern,covid [861] identified,safety [860] cdc,identified [860] 19,vaccine [858] vaccines,truth [857] coming,light Top Word Pairs in Tweet in G1:
[1030] covid,19 [883] 19,vaccines [756] safety,concern [750] concern,covid [749] identified,safety [749] breaking,cdc [748] cdc,identified [747] coming,light [747] drsimonegold,breaking [747] vaccines,truth Top Word Pairs in Tweet in G2:
[332] covid,19 [310] breaking,cdc [302] 19,vaccines [277] link,between [277] cdc,investigate [277] investigate,link [276] vaccines,cdc [276] saying,enough [276] cdc,saying [276] between,strokes Top Word Pairs in Tweet in G3:
[356] covid,19 [307] safety,concern [287] pfizer,covid [278] 19,vaccine [277] concern,pfizer [277] possible,safety [277] identified,cdc [277] vaccine,identified [276] rwmalonemd,possible [45] 19,vaccines Top Word Pairs in Tweet in G4:
[246] covid,19 [41] 19,vaccine [19] possible,safety [14] safety,issue [13] 19,pandemic [13] cdc,identifies [12] pfizer,covid [12] updated,covid [11] people,still [11] identifies,possible Top Word Pairs in Tweet in G5:
[263] covid,19 [98] 19,vaccine [69] icd,code [69] 19,itself [69] beware,false [69] false,claims [69] bigger,cv [69] code,studies [69] itself,bigger [69] americans,vaccinated Top Word Pairs in Tweet in G6:
[291] covid,19 [109] 19,vaccines [104] 19,vaccine [97] taking,vaccine [96] digital,passport [96] vaccine,paper [96] exemption,letter [96] click,link [96] vaccine,click [96] passport,covid Top Word Pairs in Tweet in G7:
[84] covid,19 [66] 554,pacientes [66] índia,etc [66] pacientes,em [66] etc,95 [66] vida,méxico [66] méxico,argentina [66] cientistas,134 [66] argentina,brasil [66] estudos,023 Top Word Pairs in Tweet in G8:
[138] covid,19 [82] 19,vaccines [63] breaking,cdc [53] link,between [53] cdc,investigate [53] investigate,link [48] vaccines,strokes [48] strokes,cdc [48] cdc,enough [48] between,covid Top Word Pairs in Tweet in G9:
[63] vaccine,safety [63] cdc,identifies [60] covid,19 [47] 19,vaccine [43] news,broke [43] broke,61 [43] coincidental,cdc [43] mrna,vaccines [43] vaccines,news [43] surely,coincidental Top Word Pairs in Tweet in G10:
[100] usou,cartão [96] covid,19 [93] wuhan,primeiro [93] bolsonaro,usou [93] corporativo,trazer [93] cartão,corporativo [93] trazer,brasileiros [93] primeiro,epicentro [93] brasileiros,wuhan [93] epicentro,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Mentioned in G6:
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:
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Top Tweeters in G9:
Top Tweeters in G10: