The graph represents a network of 5,508 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1039-day, 4-hour, 17-minute period from Thursday, 12 March 2020 at 20:42 UTC to Monday, 16 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 : 5508
Unique Edges : 1968
Edges With Duplicates : 10027
Total Edges : 11995
Number of Edge Types : 9
Retweet : 4324
MentionsInRetweet : 4679
Replies to : 547
MentionsInReplyTo : 1173
Tweet : 947
Mentions : 237
Quote : 51
MentionsInQuote : 20
MentionsInQuoteReply : 17
Self-Loops : 1145
Reciprocated Vertex Pair Ratio : 0.0126742712294043
Reciprocated Edge Ratio : 0.0250312891113892
Connected Components : 833
Single-Vertex Connected Components : 268
Maximum Vertices in a Connected Component : 2911
Maximum Edges in a Connected Component : 6964
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.687223
Graph Density : 0.000184389340614751
Modularity : 0.473827
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,508 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 08:03 UTC.
The tweets in the network were tweeted over the 1039-day, 4-hour, 17-minute period from Thursday, 12 March 2020 at 20:42 UTC to Monday, 16 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:
[3974] covid,19 [611] 19,vaccine [387] fully,vaccinated [358] 19,vaccines [340] vaccinated,covid [326] clair,bridges [321] bridges,21 [319] caught,covid [318] 21,fully [318] 19,caught Top Word Pairs in Tweet in G1:
[951] covid,19 [337] fully,vaccinated [299] bridges,21 [299] clair,bridges [296] vaccine,supposed [296] 21,fully [296] anyway,vaccine [296] caught,covid [296] covid,anyway [296] vaccinated,covid Top Word Pairs in Tweet in G2:
[100] meeting,jan [100] vrbpac,meeting [100] advisory,committee [100] vaccines,related [100] committee,vrbpac [100] biological,products [100] scheduled,vaccines [100] products,advisory [100] fda,scheduled [100] related,biological Top Word Pairs in Tweet in G3:
[235] covid,19 [23] 19,vaccine [13] #covid,19 [10] contra,covid [7] 19,cases [7] china,release [7] 42,covid [7] 60,000 [7] force,covid [7] release,more Top Word Pairs in Tweet in G4:
[227] covid,19 [180] 19,vaccines [172] vaccines,induce [172] suggest,covid [172] reactivation,interfering [172] multiple,studies [172] studies,suggest [172] induce,persistent [172] #shingles,reactivation [172] interfering,immune Top Word Pairs in Tweet in G5:
[164] #jornadadevacunación,adulto [164] asiste,cita [164] salud,cercano [164] prioridad,asiste [164] cita,centro [164] adulto,mayor [164] eres,prioridad [164] mayor,eres [164] centro,salud [164] inmunízate,contra Top Word Pairs in Tweet in G6:
[166] covid,19 [133] more,evidence [133] evidence,mrna [133] poses,200 [133] 200,times [133] contracting,covid [133] more,risk [133] risk,contracting [133] times,more [133] vaccination,children Top Word Pairs in Tweet in G7:
[60] analysis,department [60] affairs,150 [60] 150,000 [60] increased,risk [60] veterans,affairs [60] department,veterans [60] showed,increased [60] people,showed [60] 000,people [59] risk,cardiovascula Top Word Pairs in Tweet in G8:
[160] covid,19 [118] 19,vaccine [93] clinical,trial [92] trial,covid [92] ad,right [92] run,ad [92] right,clinical [92] pfizer,run [92] allowing,pfizer [92] vaccine,mo Top Word Pairs in Tweet in G9:
[3] covid,19 [3] jcdeardeuff,asloveguy [3] sassygirld1,frugalsues [3] vaeronikarigat1,shawnwo78307528 [3] catiebarker,jcdeardeuff [3] carlsmythe,catiebarker [3] asloveguy,vaeronikarigat1 [3] frugalsues,carlsmythe [2] f250roush,juanita87722370 [2] frankdelia7,blackcatprowl3 Top Word Pairs in Tweet in G10:
[106] until,covid [106] rightwingcope,children [106] group,famously [106] covid,19 [106] needles,until [106] famously,irrationally [106] children,group [106] irrationally,scared [106] scared,needles Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: