The graph represents a network of 6,384 Twitter users whose recent tweets contained "COVID", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:34 UTC.
The tweets in the network were tweeted over the 1015-day, 7-hour, 48-minute period from Sunday, 05 April 2020 at 17:12 UTC to Monday, 16 January 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 : 6384
Unique Edges : 2790
Edges With Duplicates : 10702
Total Edges : 13492
Number of Edge Types : 9
Replies to : 1195
MentionsInReplyTo : 2330
Tweet : 1182
Retweet : 3991
MentionsInRetweet : 4358
Mentions : 274
Quote : 107
MentionsInQuote : 32
MentionsInQuoteReply : 23
Self-Loops : 1397
Reciprocated Vertex Pair Ratio : 0.0233054074638233
Reciprocated Edge Ratio : 0.0455492706162548
Connected Components : 1006
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 3262
Maximum Edges in a Connected Component : 7914
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.309134
Graph Density : 0.000164862650123664
Modularity : 0.505892
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,384 Twitter users whose recent tweets contained "COVID", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:34 UTC.
The tweets in the network were tweeted over the 1015-day, 7-hour, 48-minute period from Sunday, 05 April 2020 at 17:12 UTC to Monday, 16 January 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 : COVID
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:
[1047] covid,19 [685] covid,vaccine [294] over,last [287] 130,covid [284] vaccine,vaccine [281] costs,85 [281] moderna,planning [281] vaccine,costs [281] charge,130 [281] 85,make Top Word Pairs in Tweet in G1:
[203] covid,19 [142] covid,vaccine [70] fully,vaccinated [61] 19,vaccine [59] vaccine,supposed [59] caught,covid [59] vaccinated,covid [58] 21,fully [58] bridges,21 [58] anyway,vaccine Top Word Pairs in Tweet in G2:
[261] covid,vaccine [258] 130,covid [258] vaccine,costs [258] make,meanwhile [258] charge,130 [258] planning,charge [258] over,last [258] costs,85 [258] 85,make [258] meanwhile,over Top Word Pairs in Tweet in G3:
[98] winter,therefore [98] stay,hell [98] don,covid [98] going,stay [98] covid,winter [98] hell,away [98] really,don [98] therefore,going [98] away,vaccinated [97] catturd2,really Top Word Pairs in Tweet in G4:
[59] covid,19 [7] long,covid [6] covid,vaccines [5] 42,covid [5] covid,vaccine [4] 19,infections [4] データが十分にそろっていないｃovidワクの接種は推奨できない,co [4] covid,deaths [4] fg,rules [4] infections,recorded Top Word Pairs in Tweet in G5:
[33] federal,reserve [31] chair,jerome [31] half,million [31] million,working [31] working,died [31] died,#covid [31] reserve,chair [31] close,half [31] #covid,federal [31] god,close Top Word Pairs in Tweet in G6:
[48] advice,directed [48] medical,advice [48] myocarditis,ignored [48] ignored,medical [48] mention,removed [48] knew,myocarditis [48] government,knew [48] directed,mention [48] zealand,government [47] removed,pre Top Word Pairs in Tweet in G7:
[78] covid,19 [52] 19,vaccines [49] #shingles,reactivation [49] reactivation,interfering [49] multiple,studies [49] persistent,#shingles [49] vaccines,induce [49] studies,suggest [49] suggest,covid [49] induce,persistent Top Word Pairs in Tweet in G8:
[58] fetal,demise [58] demise,covid [54] covid,vaccination [53] thanks,question [53] jreinermd,thanks [53] data,suggest [53] suggest,increased [53] increased,fetal [53] question,congresswoman [53] congresswoman,data Top Word Pairs in Tweet in G9:
[37] covid,19 [30] breaking,bbc [30] deaths,covid [30] contributory,factor [30] factor,excess [30] excess,cardiovascular [30] cardiologist,contributory [30] mrna,vaccine [30] news,cardiologist [30] bbc,news Top Word Pairs in Tweet in G10:
[27] link,between [24] between,covid [22] investigation,found [22] covid,booster [22] drelidavid,cdc [22] stroke,reminds [22] found,link [22] investigated,bernie [22] sec,investigated [22] reminds,sec Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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: