The graph represents a network of 6,916 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 2563-day, 20-hour, 59-minute period from Wednesday, 06 January 2016 at 04:01 UTC to Friday, 13 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 : 6916
Unique Edges : 3180
Edges With Duplicates : 10925
Total Edges : 14105
Number of Edge Types : 9
Retweet : 3613
MentionsInRetweet : 4035
Tweet : 1524
Replies to : 1373
MentionsInReplyTo : 2780
Quote : 153
Mentions : 418
MentionsInQuote : 118
MentionsInQuoteReply : 91
Self-Loops : 1780
Reciprocated Vertex Pair Ratio : 0.020123384253819
Reciprocated Edge Ratio : 0.0394528437724982
Connected Components : 1349
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 3224
Maximum Edges in a Connected Component : 7701
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.025754
Graph Density : 0.000145219548119423
Modularity : 0.514978
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,916 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 08:48 UTC.
The tweets in the network were tweeted over the 2563-day, 20-hour, 59-minute period from Wednesday, 06 January 2016 at 04:01 UTC to Friday, 13 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
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:
[1054] covid,19 [345] covid,vaccine [305] covid,vaccines [208] government,created [208] created,covid [173] covid,shots [156] 19,vaccines [148] long,covid [125] lisa,marie [123] 19,vaccine Top Word Pairs in Tweet in G1:
[84] covid,19 [17] covid,vaccine [12] 19,vaccine [9] covid,vaccines [9] during,covid [8] long,covid [7] covid,cases [6] contra,covid [6] far,longer [6] admit,trump Top Word Pairs in Tweet in G2:
[65] covid,19 [59] covid,vaccine [34] 19,vaccines [32] white,house [32] true,content [31] suppressed,true [31] developing,emails [31] emails,white [31] house,facebook [31] vaccines,following Top Word Pairs in Tweet in G3:
[34] causes,death [34] leading,causes [34] around,world [34] before,started [34] world,before [34] congresswoman,list [34] list,leading [34] go,congresswoman [34] started,vaccinating [34] death,around Top Word Pairs in Tweet in G4:
[36] covid,19 [22] smearing,decent [22] deliberate,anti [22] folk,throughout [22] throughout,entire [22] tired,deliberate [22] vaxxer,smearing [22] anti,vaxxer [22] decent,folk [22] entire,lives Top Word Pairs in Tweet in G5:
[109] covid,shots [108] widely,accepted [108] meet,widely [108] don,meet [108] don,provide [108] shots,don [108] immunity,don [108] accepted,definition [108] definition,vaccine [108] provide,immunity Top Word Pairs in Tweet in G6:
[14] covid,19 [7] two,years [7] healthcare,public [7] learned,covid [6] society,without [6] covid,contracts [6] without,consumption [6] johnson,promised [6] published,covid [6] public,health Top Word Pairs in Tweet in G7:
[190] created,covid [190] government,created [96] covid,vaccines [96] vaccines,government [95] virus,government [95] government,mandated [95] covid,virus [94] emeraldrobinson,government [24] covid,19 [22] first,piece Top Word Pairs in Tweet in G8:
[32] covid,vaccines [31] pfizer,board [31] member,dr [31] lobbied,twitter [31] scott,gottlieb [31] dr,scott [31] twitter,censor [31] gottlieb,used [31] head,fda [31] used,head Top Word Pairs in Tweet in G9:
[96] lisa,marie [85] marie,presley [64] heart,attacks [47] died,heart [46] both,died [44] grandmother,46 [44] 54,outlived [44] father,42 [44] presley,54 [44] 46,both Top Word Pairs in Tweet in G10:
[57] covid,vaccines [42] transmission,disease [42] vaccines,stop [42] drloupis,covid [42] disease,covid [42] covid,passport [42] stop,transmission [11] harm,citizens [11] speaking,covid [11] military,employees 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:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: