The graph represents a network of 5,798 Twitter users whose recent tweets contained "Coronavirus", 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:10 UTC.
The tweets in the network were tweeted over the 2040-day, 5-hour, 55-minute period from Wednesday, 19 July 2017 at 19:05 UTC to Sunday, 19 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 : 5798
Unique Edges : 2531
Edges With Duplicates : 10187
Total Edges : 12718
Number of Edge Types : 9
Tweet : 1133
Retweet : 3731
MentionsInRetweet : 4384
Replies to : 894
MentionsInReplyTo : 2107
Mentions : 309
Quote : 75
MentionsInQuoteReply : 51
MentionsInQuote : 34
Self-Loops : 1561
Reciprocated Vertex Pair Ratio : 0.0248756218905473
Reciprocated Edge Ratio : 0.0485436893203883
Connected Components : 1104
Single-Vertex Connected Components : 437
Maximum Vertices in a Connected Component : 1686
Maximum Edges in a Connected Component : 4017
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 7.663828
Graph Density : 0.000177739398814781
Modularity : 0.491038
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,798 Twitter users whose recent tweets contained "Coronavirus", 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:10 UTC.
The tweets in the network were tweeted over the 2040-day, 5-hour, 55-minute period from Wednesday, 19 July 2017 at 19:05 UTC to Sunday, 19 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 : Coronavirus
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:
[350] covid,19 [334] administration,patients [334] emails,admiral [334] begging,cuomo [334] admiral,uss [334] comfort,begging [334] reminder,light [334] cuomo,administration [334] light,uncovered [334] uncovered,emails Top Word Pairs in Tweet in G1:
[84] covid,19 [62] #coronavirus,#covid19 [26] 02,18 [26] old,coronavirus [26] come,back [26] coronavirus,variants [26] variants,come [25] coronavirus,pandemic [21] #covid19,#covid_19 [20] 2023,02 Top Word Pairs in Tweet in G2:
[328] emails,admiral [328] begging,cuomo [328] admiral,uss [328] administration,patients [328] uncovered,emails [328] light,uncovered [328] reminder,light [328] uss,comfort [328] cuomo,administration [328] comfort,begging Top Word Pairs in Tweet in G3:
[315] march,2020 [315] coronavirus,fauci [315] dr,fauci [315] 2020,dr [315] fauci,asked [314] caught,coronavirus [314] asked,person [314] immune,once [314] once,caught [314] person,immune Top Word Pairs in Tweet in G4:
[282] pauvres,ressent [282] noires,matérialistes [282] déteste,pauvres [282] vryndh,ewii [282] méchantes,noires [282] émotion,vrai [282] ressent,aucune [282] ewii,méchantes [282] vrai,amour [282] aucune,émotion Top Word Pairs in Tweet in G5:
[160] #covid19,herz [160] #covid_19,die [160] die,auswirkungen [160] während,die [160] auswirkungen,#covid_19 [160] verschwunden,während [160] virus,verschwunden [160] verändert,nachdem [160] herz,verändert [160] rwittenbrink,#covid19 Top Word Pairs in Tweet in G6:
[52] confirmé,qu [52] bien,plus [52] populations,jeunes [52] plus,efficace [52] donc,scientifiquement [52] développer,leur [52] jeunes,développer [52] efficace,laisser [52] laisser,populations [52] qu,était Top Word Pairs in Tweet in G7:
[33] docahmadmalik,references [10] knew,ivermectin [10] coronavirus,outbreak [10] outbreak,done [10] ivermectin,answer [10] answer,coronavirus [10] entertainment,knew [10] done,research [9] tbifford,entertainment [9] research,adva Top Word Pairs in Tweet in G8:
[77] best,religious [77] time,washingtonpost [77] much,stupidity [77] professor,alanlevinovitz [77] religious,studies [77] little,time [77] studies,professor [77] stupidity,little [77] washingtonpost,best [76] alexberenson,much Top Word Pairs in Tweet in G9:
[111] careless,irregular [111] contentious,research [111] general,violated [111] university,rules [111] irregular,contentious [111] violated,university [111] rules,against [111] against,careless [111] florida,surgeon [111] surgeon,general Top Word Pairs in Tweet in G10:
[9] florida,surgeon [9] again,questioning [9] fda,americas [9] covid,vaccines [9] general,again [9] questioning,covid [9] sends,letter [9] vaccines,sends [9] frontline,doctors [9] cdc,fda Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: