The graph represents a network of 5,833 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 09:51 UTC.
The tweets in the network were tweeted over the 1057-day, 21-hour, 15-minute period from Thursday, 12 March 2020 at 03:44 UTC to Friday, 03 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 : 5833
Unique Edges : 2686
Edges With Duplicates : 10461
Total Edges : 13147
Number of Edge Types : 9
Tweet : 1084
Quote : 75
Mentions : 371
MentionsInReplyTo : 2559
Replies to : 1133
Retweet : 3624
MentionsInRetweet : 4213
MentionsInQuoteReply : 51
MentionsInQuote : 37
Self-Loops : 1444
Reciprocated Vertex Pair Ratio : 0.0263029712615684
Reciprocated Edge Ratio : 0.0512577123872805
Connected Components : 1006
Single-Vertex Connected Components : 440
Maximum Vertices in a Connected Component : 1859
Maximum Edges in a Connected Component : 4618
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.810359
Graph Density : 0.00018581308702649
Modularity : 0.494782
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,833 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 09:51 UTC.
The tweets in the network were tweeted over the 1057-day, 21-hour, 15-minute period from Thursday, 12 March 2020 at 03:44 UTC to Friday, 03 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:
[639] covid,19 [499] flu,transmission [497] study,finds [496] mask,wearing [495] difference',regarding [495] regarding,flu [495] makes,'little [495] 'little,difference' [495] finds,mask [495] wearing,makes Top Word Pairs in Tweet in G1:
[472] finds,mask [472] difference',regarding [472] study,finds [472] 'little,difference' [472] mask,wearing [472] flu,transmission [472] regarding,flu [472] wearing,makes [472] makes,'little [471] mynbc15,study Top Word Pairs in Tweet in G2:
[95] covid,19 [26] #coronavirus,#covid19 [22] 02,02 [16] #covid19,#covid_19 [14] contra,coronavirus [12] coronavirus,variant [12] vacunas,bivalentes [12] változott,#coronavirus [12] száma,világon [12] potentially,dangerous Top Word Pairs in Tweet in G3:
[98] coronavirus,strains [97] political,power [97] used,#bioterrorism [97] nih,approved [97] transmission,pandemic [97] bat,human [97] #bioterrorism,overthrow [97] power,economy [97] strains,bat [97] pandemic,transferred Top Word Pairs in Tweet in G4:
[259] domicilios,aparezcan [259] salud,alteró [259] alteró,registros [259] secretaría,salud [259] aparezcan,ocurridas [259] #covid19,domicilios [259] mil,muertes [259] registros,mil [259] muertes,#covid19 [258] ocurridas,hosp Top Word Pairs in Tweet in G5:
[215] covid,19 [196] pediatric,patients [194] central,nervous [194] 19,pediatric [194] presence,coronavirus [194] coronavirus,central [194] nervous,system [194] system,covid [192] first,reports [192] reports,presence Top Word Pairs in Tweet in G6:
[121] dramatic,rise [121] group,study [121] healthy,25 [121] age,group [121] heart,attacks [121] breaking,sudden [121] attacks,dramatic [121] rise,healthy [121] 44,age [121] sudden,heart Top Word Pairs in Tweet in G7:
[115] 80,randomized [115] randomized,controlled [115] controlled,trials [115] doctors,analyzed [115] group,international [115] research,group [115] nearly,80 [115] international,doctors [115] trials,rcts [115] rcts,found Top Word Pairs in Tweet in G8:
[120] mes,internado [120] guardia,civil [120] victima,coronavirus [120] galindo,victima [120] civil,rodríguez [120] llevaba,mes [120] internado,centro [120] muere,general [120] coronavirus,llevaba [120] rodríguez,galindo Top Word Pairs in Tweet in G9:
[5] public,health [5] know,masks [5] absolutely,nothing [5] masks,absolutely [5] cnn,admitting [5] nothing,slow [5] spread,cnn [5] words,know [5] slow,spread [4] jacksonhinklle,jimmy_dore Top Word Pairs in Tweet in G10:
[25] dies,ersten [25] ersten,berichte [25] vorhandensein,#coronavirus [25] zentralen,nervensystem [25] berichte,vorhandensein [25] nervensystem,pädiatrischen [25] #coronavirus,zentralen [24] pädiatrischen,# [24] rwittenbrink,dies [18] aussagekräftig,lässt Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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 G9:
Top Tweeters in G10: