The graph represents a network of 5,998 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 10:00 UTC.
The tweets in the network were tweeted over the 1097-day, 6-hour, 40-minute period from Sunday, 09 February 2020 at 18:20 UTC to Saturday, 11 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 : 5998
Unique Edges : 2734
Edges With Duplicates : 10336
Total Edges : 13070
Number of Edge Types : 9
Retweet : 3606
MentionsInRetweet : 4209
Tweet : 1131
Mentions : 493
Quote : 55
Replies to : 998
MentionsInReplyTo : 2474
MentionsInQuoteReply : 59
MentionsInQuote : 45
Self-Loops : 1525
Reciprocated Vertex Pair Ratio : 0.0219097449313277
Reciprocated Edge Ratio : 0.04288
Connected Components : 1128
Single-Vertex Connected Components : 481
Maximum Vertices in a Connected Component : 2592
Maximum Edges in a Connected Component : 6036
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.088152
Graph Density : 0.000173755878717396
Modularity : 0.495898
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,998 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 10:00 UTC.
The tweets in the network were tweeted over the 1097-day, 6-hour, 40-minute period from Sunday, 09 February 2020 at 18:20 UTC to Saturday, 11 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:
[1125] coronavirus,research [967] rand,paul [901] chinese,coronavirus [899] government,still [898] down,government [898] funds,chinese [898] paul,breaks [898] breaks,down [898] still,funds [894] main,group Top Word Pairs in Tweet in G1:
[860] rand,paul [860] coronavirus,research [859] funds,chinese [859] still,funds [859] chinese,coronavirus [859] main,group [859] paul,breaks [859] research,main [859] down,government [859] government,still Top Word Pairs in Tweet in G2:
[153] covid,19 [36] #coronavirus,#covid19 [26] perfect,enemy [24] news,perfect [24] 19,shots [24] immunization,schedule [23] more,cdc [23] flu,vaccines [23] cdc,2023 [23] join,flu Top Word Pairs in Tweet in G3:
[241] wissenschaftler,universität [241] rezeptor,#covid19 [241] entdecken,rezeptor [241] infektion,blockiert [241] blockiert,wissenschaftler [241] #covid19,infektion [241] wissenschaftler,entdecken [241] universität,sydney [240] sydney,pr [240] rwittenbrink,wissenschaftler Top Word Pairs in Tweet in G4:
[241] coronavirus,research [225] fund,coronavirus [224] spox,know [224] research,china [224] department,fund [224] randpaul,state [224] china,state [224] yaliberty,randpaul [224] dept,spox [224] state,dept Top Word Pairs in Tweet in G5:
[4] glenandjojo,iceman643850461 [4] iceman643850461,justin_hart [2] sasquatch4eva,rickeyh64219156 [2] fatalfibers,badhatter353 [2] real_seeking,mattyboysmit1 [2] jimeeliberty,skepticalmutant [2] redheadlass1402,cachepast [2] provaxtexan,nuhope2022 [2] nuhope2022,pawley_robert [2] pkdocker9,albowers1 Top Word Pairs in Tweet in G6:
[34] human,transmission [34] #twitterfiles,#directedevolution [34] #buildbackbetter,#democrats [34] funding,augment [34] #bioterrorism,overthrow [34] overthrow,country [34] pandemic,transferred [34] strains,bat [34] coronavirus,strains [34] #democrats,used Top Word Pairs in Tweet in G7:
[93] coronavirus,resource [93] resource,center [90] johns,hopkins [90] hopkins,coronavirus [88] ceasing,operations [88] became,go [88] dashboards,maps [88] operations,data [88] maps,became [88] three,years Top Word Pairs in Tweet in G8:
[118] rapidamente,nel [118] sua,efficacia [118] giro,pochi [118] nel,giro [118] l'efficacia,diminuisce [118] lt,l'efficacia [118] pochi,mesi [118] diminuisce,rapidamente [118] mesi,sua [118] lt,lt Top Word Pairs in Tweet in G9:
[101] mice,powder [101] airways,block [101] tested,mice [101] coats,airways [101] infection,tested [101] inhaled,powder [101] particles,remained [101] powder,particles [101] block,coronavirus [101] coronavirus,infection Top Word Pairs in Tweet in G10:
[25] lies,misinformation [25] around,lies [25] repmtg,slushes [25] trash,doing [25] maga,trash [25] worried,fellow [25] 24,worried [25] fellow,maga [25] misinformation,24 [25] slushes,around Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: