The graph represents a network of 6,905 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1095-day, 10-hour, 38-minute period from Wednesday, 11 March 2020 at 14:22 UTC to Sunday, 12 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 : 6905
Unique Edges : 3574
Edges With Duplicates : 10998
Total Edges : 14572
Number of Edge Types : 9
Retweet : 3638
MentionsInRetweet : 4346
Tweet : 1391
Mentions : 400
Replies to : 1605
MentionsInReplyTo : 2930
Quote : 147
MentionsInQuote : 75
MentionsInQuoteReply : 40
Self-Loops : 1665
Reciprocated Vertex Pair Ratio : 0.0279905305667734
Reciprocated Edge Ratio : 0.0544567867786508
Connected Components : 1395
Single-Vertex Connected Components : 310
Maximum Vertices in a Connected Component : 2275
Maximum Edges in a Connected Component : 5618
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 11.512053
Graph Density : 0.000154849417227512
Modularity : 0.528865
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,905 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1095-day, 10-hour, 38-minute period from Wednesday, 11 March 2020 at 14:22 UTC to Sunday, 12 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 : 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:
[1113] covid,19 [229] josé,ramón [222] ramón,lópez [212] lópez,beltrán [198] hijo,presidente [196] long,covid [148] contra,covid [127] three,years [111] years,ago [97] 19,pandemic Top Word Pairs in Tweet in G1:
[223] josé,ramón [218] ramón,lópez [208] lópez,beltrán [186] hijo,presidente [112] contra,covid [96] covid,19 [77] covid,gobierno [74] hospital,militar [73] presidente,recibió [72] medicamentos,contra Top Word Pairs in Tweet in G2:
[83] covid,19 [11] long,covid [9] covid,origins [8] three,years [7] 19,pandemic [7] 19,vaccine [6] during,covid [6] origins,bill [5] positivo,covid [5] joe,biden Top Word Pairs in Tweet in G3:
[20] inc,friday [20] failed,persuade [20] federal,judge [20] friday,failed [20] persuade,federal [20] despite,backing [20] backing,government [20] government,#moderna [20] #moderna,inc [19] rwmalonemd,despite Top Word Pairs in Tweet in G4:
[56] long,covid [24] covid,19 [17] covid,really [17] succumbed,hubris [17] regarding,dangers [17] hubris,regarding [17] never,succumbed [17] dangers,covid [17] ve,never [16] sethmacfarlane,ve Top Word Pairs in Tweet in G5:
[32] excess,mortality [31] covid,deaths [31] didn,lot [31] lot,covid [31] explain,excess [31] data,australia [31] going,explain [31] australia,didn [31] mortality,data [31] australia,australia Top Word Pairs in Tweet in G6:
[65] covid,19 [41] world,health [41] three,years [41] organization,declared [41] declared,covid [41] today,world [41] years,ago [41] ago,today [41] 19,pandemic [41] pandemic,thank Top Word Pairs in Tweet in G7:
[6] release,ll [6] know,joe [6] bill,declassify [6] declassify,covid [6] covid,source [6] source,intelligence [6] joe,banging [6] unanimous,bill [6] ll,know [6] vetos,unanimous Top Word Pairs in Tweet in G8:
[13] covid,lab [13] anthony,fauci [13] leak,theory [13] lab,leak [12] theory,hopes [12] invited,hearings [12] hopes,invited [12] fauci,covid [12] icymi,today [12] doctor,anthony Top Word Pairs in Tweet in G9:
[21] minutes,pfizer [21] old,woman [21] year,old [21] dose,stopped [21] stopped,breathing [21] woman,japan [21] breathing,15 [21] japan,felt [21] felt,sick [21] 15,minutes Top Word Pairs in Tweet in G10:
[24] noelfritsch,firsthealth [17] files,congressional [17] j6,footage [17] committee,hearings [17] newly,released [17] hearings,newly [17] prove,deep [17] deep,state [17] footage,prove [17] twitter,files 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 G4:
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:
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Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: