The graph represents a network of 5,805 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 08:04 UTC.
The tweets in the network were tweeted over the 1016-day, 13-hour, 28-minute period from Thursday, 19 March 2020 at 11:31 UTC to Saturday, 31 December 2022 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 : 5805
Unique Edges : 2465
Edges With Duplicates : 9778
Total Edges : 12243
Number of Edge Types : 9
Replies to : 740
MentionsInReplyTo : 1207
Tweet : 1388
Retweet : 3886
MentionsInRetweet : 4429
Mentions : 430
MentionsInQuoteReply : 19
Quote : 78
MentionsInQuote : 66
Self-Loops : 1701
Reciprocated Vertex Pair Ratio : 0.0126838235294118
Reciprocated Edge Ratio : 0.0250499183154838
Connected Components : 1206
Single-Vertex Connected Components : 435
Maximum Vertices in a Connected Component : 1965
Maximum Edges in a Connected Component : 5244
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.806745
Graph Density : 0.000163509557992914
Modularity : 0.487851
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,805 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 08:04 UTC.
The tweets in the network were tweeted over the 1016-day, 13-hour, 28-minute period from Thursday, 19 March 2020 at 11:31 UTC to Saturday, 31 December 2022 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:
[4057] covid,19 [291] 19,vaccine [179] adulto,mayor [179] eres,prioridad [179] centro,salud [179] salud,cercano [179] inmunízate,contra [179] prioridad,asiste [179] mayor,eres [179] cercano,inmunízate Top Word Pairs in Tweet in G1:
[410] covid,19 [16] 19,pandemic [16] 19,vaccine [13] brasil,registra [13] 19,vaccination [12] contra,covid [11] #covid,19 [11] due,covid [10] 19,brasil [10] mil,novos Top Word Pairs in Tweet in G2:
[197] covid,19 [113] 19,vaccine [93] vaccine,injuries [89] world,publicly [89] around,world [89] publicly,acknowledging [89] acknowledging,covid [89] others,around [89] injuries,dealt [89] appears,others Top Word Pairs in Tweet in G3:
[300] covid,19 [91] 19,vaccine [88] 19,vaccines [86] digital,passport [86] vaccine,paper [86] exemption,letter [86] click,link [86] vaccine,click [86] passport,covid [86] taking,vaccine Top Word Pairs in Tweet in G4:
[285] covid,19 [179] mayor,eres [179] inmunízate,contra [179] prioridad,asiste [179] cita,centro [179] cercano,inmunízate [179] salud,cercano [179] asiste,cita [179] centro,salud [179] eres,prioridad Top Word Pairs in Tweet in G5:
[159] covid,19 [134] risk,contracting [134] higher,number [134] previously,received [134] vaccines,previously [134] number,vaccines [134] contracting,covid [134] 19,hmmm [134] received,higher [134] higher,risk Top Word Pairs in Tweet in G6:
[115] méxico,tema [115] respecto,vacuna [115] evidencia,científica [115] tema,falta [115] vacuna,abdala [115] falta,evidencia [115] abdala,méxico [114] hectorrossete,respecto [43] covid,19 [42] contra,covid Top Word Pairs in Tweet in G7:
[134] covid,19 [125] looks,cdc [125] radar,looks [125] back,covid [125] guidelines,masking [125] cdc,guidelines [125] going,under [125] masking,switching [125] switching,back [125] under,radar Top Word Pairs in Tweet in G8:
[59] censorship,network [53] network,'propaganda [53] slams,cisa [53] thread,#twitterfiles [53] cisa,censorship [53] #twitterfiles,elonmusk [53] elonmusk,slams [53] ',dhs [53] platform,' [53] 'propaganda,platform Top Word Pairs in Tweet in G9:
[45] covid,19 [30] current,surge [30] #covid19,cases [30] surge,#covid19 [17] level,meeting [17] took,place [17] place,30 [17] high,level [17] meeting,took [17] 30,december Top Word Pairs in Tweet in G10:
[97] #原神,#genshinimpact [97] covid,19 [97] #胡桃,#hutao [97] 19,updated [97] back,#原神 [97] recovered,back [97] time,recovered [97] #genshinimpact,#胡桃 [97] updated,long [97] long,time Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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:
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: