The graph represents a network of 6,707 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1067-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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 : 6707
Unique Edges : 3076
Edges With Duplicates : 10859
Total Edges : 13935
Number of Edge Types : 9
Quote : 155
Replies to : 1453
MentionsInReplyTo : 2763
Tweet : 1332
Retweet : 3672
MentionsInRetweet : 4125
MentionsInQuote : 61
Mentions : 313
MentionsInQuoteReply : 61
Self-Loops : 1565
Reciprocated Vertex Pair Ratio : 0.0230792138177487
Reciprocated Edge Ratio : 0.0451171590743705
Connected Components : 1329
Single-Vertex Connected Components : 324
Maximum Vertices in a Connected Component : 2921
Maximum Edges in a Connected Component : 7265
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.414869
Graph Density : 0.000152766487474904
Modularity : 0.514752
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,707 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 1067-day, 3-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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:
[1037] covid,19 [635] covid,vaccine [518] breaking,moderna [489] keep,covid [485] moderna,keep [485] vaccine,free [483] free,people [483] people,reversing [478] course,planned [478] reversing,course Top Word Pairs in Tweet in G1:
[476] covid,vaccine [473] vaccine,free [472] course,planned [472] people,reversing [472] moderna,keep [472] free,people [472] reversing,course [472] breaking,moderna [472] keep,covid [471] planned,40 Top Word Pairs in Tweet in G2:
[90] covid,19 [10] long,covid [9] during,covid [8] #covid,19 [7] 19,vaccine [7] 19,pandemic [6] covid,vaccines [6] covid,vaccine [5] contra,covid [5] 19,#covid Top Word Pairs in Tweet in G3:
[67] biometrics,surveillance [67] jamesmelville,covid [67] critical,convinces [67] total,biometrics [67] convinces,people [67] accept,legitimise [67] covid,critical [67] legitimise,total [67] people,accept [27] before,covid Top Word Pairs in Tweet in G4:
[40] covid,first [35] first,battle [31] see,care [31] killing,potential [31] none,leftist [31] gave,none [31] accounts,follow [31] currently,participating [31] y'all,gave [31] battle,y'all Top Word Pairs in Tweet in G5:
[5] doritmi,sariellaforever [5] pawley_robert,jordandoll7 [5] jonathanhannah,richykirsh [5] jaytee116james,jkelleyk [5] monstercoyliar,pouldeau61 [5] pouldeau61,kathmarval [5] david4677484957,peregrinepfp [5] giannmi,saluce65 [5] docdeezwhat,pawley_robert [5] doom37455413,skepticalmutant Top Word Pairs in Tweet in G6:
[18] long,covid [17] covid,19 [14] called,covid [13] being,called [13] influencer,minimizers [13] maskless,selfies [13] taking,maskless [13] covid,influencer [13] minimizers,one [13] one,taking Top Word Pairs in Tweet in G7:
[14] covid,19 [8] evidence,shows [8] stopped,funding [8] shows,working [8] working,best [8] funding,evidence [8] best,interest [8] time,stopped [7] abridgen,time [4] safe,effective Top Word Pairs in Tweet in G8:
[74] covid,19 [65] 19,vaccines [62] vaccines,florida [62] florida,remains [62] big,pharma [62] mrna,covid [62] continue,blindly [62] remains,dedicated [62] administration,big [62] biden,administration Top Word Pairs in Tweet in G9:
[46] paid,parents [46] babies,covid [46] covid,shots [46] parents,900 [35] rochester,medical [35] line,babies [35] 900,line [35] shots,2022 [35] university,rochester [35] center,paid Top Word Pairs in Tweet in G10:
[60] mask,mandates [53] jacinda,arden [53] nicola,sturgeon [51] sturgeon,those [51] mandates,covid [51] arden,nicola [51] responsible,lockdowns [51] lockdowns,mask [51] covid,passports [51] those,responsible 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:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: