The graph represents a network of 5,594 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:18 UTC.
The tweets in the network were tweeted over the 1139-day, 5-hour, 58-minute period from Tuesday, 21 January 2020 at 19:01 UTC to Monday, 06 March 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 : 5594
Unique Edges : 2076
Edges With Duplicates : 11691
Total Edges : 13767
Number of Edge Types : 9
Retweet : 3892
MentionsInRetweet : 4506
Tweet : 698
Quote : 66
Replies to : 1208
MentionsInReplyTo : 3017
Mentions : 232
MentionsInQuoteReply : 134
MentionsInQuote : 14
Self-Loops : 988
Reciprocated Vertex Pair Ratio : 0.0181789440404679
Reciprocated Edge Ratio : 0.0357087408787455
Connected Components : 702
Single-Vertex Connected Components : 217
Maximum Vertices in a Connected Component : 3472
Maximum Edges in a Connected Component : 9172
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.955826
Graph Density : 0.00020586665964357
Modularity : 0.468635
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,594 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:18 UTC.
The tweets in the network were tweeted over the 1139-day, 5-hour, 58-minute period from Tuesday, 21 January 2020 at 19:01 UTC to Monday, 06 March 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:
[1006] coronavirus,pandemic [885] pandemic,response [881] role,coronavirus [880] fauci,prosecuted [880] prosecuted,role [880] senator,ted [880] ted,cruz [879] cruz,calling [879] calling,fauci [799] response,thoughts Top Word Pairs in Tweet in G1:
[867] coronavirus,pandemic [867] role,coronavirus [866] fauci,prosecuted [866] prosecuted,role [866] pandemic,response [866] senator,ted [866] ted,cruz [865] cruz,calling [865] calling,fauci [785] response,thoughts Top Word Pairs in Tweet in G2:
[254] quietly,update [254] artists,quietly [254] update,covid [254] term,risk [254] explosive,cdc [254] massive,organ [254] warning,long [254] sly,warning [254] cdc,cover [254] long,term Top Word Pairs in Tweet in G3:
[298] brachte,elend [298] spaltung,ganze [298] ganze,nation [298] nation,nein [298] elend,leid [298] coronavirus,brachte [298] leid,spaltung [297] drpuerner,coronavirus [296] waren,politiker [296] politiker,experten Top Word Pairs in Tweet in G4:
[218] bill,gates [199] ownership,coronavirus [199] patents,show [199] both,china [199] crimes,patents [199] show,cdc [199] cdc,ownership [199] coronavirus,both [199] china,involved [199] involved,creation Top Word Pairs in Tweet in G5:
[66] covid,19 [28] #coronavirus,#covid19 [13] coronavirus,covid [11] coronavirus,pandemic [11] 03,05 [10] #covid19,#covid_19 [10] #covid19,#coronavirus [9] #coronavirus,#covid [8] data,2023 [8] pm,#coronavirus Top Word Pairs in Tweet in G6:
[250] sars,cov [246] early,coronavirus [246] coronavirus,infections [246] direct,ancestor [246] wuhan,direct [246] ancestor,early [130] lacking,α [130] detrick,being [130] cov,highly [130] therefore,wuhan Top Word Pairs in Tweet in G7:
[181] acute,respiratory [181] cdc,finally [181] sars,cov [181] syndrome,coronavirus [181] coronavirus,sars [181] severe,acute [181] finally,emerging [181] suggests,severe [181] respiratory,syndrome [181] emerging,evidence Top Word Pairs in Tweet in G8:
[128] celui,avait [128] insérer,site [128] briceperrier,chez [128] site,furine [128] frederictaddei,accablant [128] chez,frederictaddei [128] projet,insérer [128] avait,ce [128] ce,projet [128] accablant,celui Top Word Pairs in Tweet in G9:
[22] president,xi [18] handling,covid [17] working,very [17] jonathanturley,realdonaldtrump [16] united,states [16] chinese,government [15] very,hard [15] instead,praised [15] donaldjtrumpjr,time [15] covid,15 Top Word Pairs in Tweet in G10:
[11] baseless,conspiracy [11] poll,finds [11] coronavirus,created [11] created,lab [11] lab,china [11] believe,baseless [11] conspiracy,theory [11] theory,coronavirus [11] 40,respondents [11] finds,40 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: