The graph represents a network of 7,401 Twitter users whose tweets in the requested range contained "thelancet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 28 May 2022 at 01:38 UTC.
The requested start date was Saturday, 28 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 5-hour, 55-minute period from Tuesday, 24 May 2022 at 15:30 UTC to Friday, 27 May 2022 at 21:25 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7401
Unique Edges : 6999
Edges With Duplicates : 15930
Total Edges : 22929
Number of Edge Types : 5
MentionsInRetweet : 7699
Mentions : 7867
Retweet : 4450
Replies to : 2194
Tweet : 719
Self-Loops : 805
Reciprocated Vertex Pair Ratio : 0.0220905628438426
Reciprocated Edge Ratio : 0.043226233852269
Connected Components : 568
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 5671
Maximum Edges in a Connected Component : 20576
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.174354
Graph Density : 0.000220496134561801
Modularity : 0.443877
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,401 Twitter users whose tweets in the requested range contained "thelancet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 28 May 2022 at 01:38 UTC.
The requested start date was Saturday, 28 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 5-hour, 55-minute period from Tuesday, 24 May 2022 at 15:30 UTC to Friday, 27 May 2022 at 21:25 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : thelancet
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:
[2288] karl_lauterbach,thelancet [396] haintz_markus,karl_lauterbach [350] call,leaders [350] leaders,act [349] 2017,10 [349] 10,doctors [349] doctors,violently [349] violently,killed [349] killed,#philippines [349] #philippines,call Top Word Pairs in Tweet in G1:
[2266] karl_lauterbach,thelancet [394] haintz_markus,karl_lauterbach [247] 100,menschen [238] sterben,täglich [220] thelancet,sterben [202] täglich,100 [185] menschen,man [184] man,irgendeinen [184] irgendeinen,test [184] test,durchführt Top Word Pairs in Tweet in G2:
[115] thelancetinfdis,reduction [115] reduction,vaccine [115] vaccine,booster [115] booster,effectiveness [115] effectiveness,vs [115] vs,hospitalization [115] hospitalization,ba [115] ba,vs [115] vs,ba [115] ba,variants Top Word Pairs in Tweet in G3:
[40] children,tigray [40] tigray,dropped [40] dropped,school [40] school,more [40] more,two [40] two,years [40] years,struggling [40] struggling,stay [40] stay,alive [36] covid,19 Top Word Pairs in Tweet in G4:
[349] call,leaders [348] 2017,10 [348] 10,doctors [348] doctors,violently [348] violently,killed [348] killed,#philippines [348] #philippines,call [348] leaders,act [346] michelleealamd,2017 [14] violence,against Top Word Pairs in Tweet in G5:
[76] 43,million [67] health,workers [65] million,additional [64] ihme,#gbdstudy [58] ensure,people [53] #gbdstudy,reveals [53] workers,needed [51] reveals,more [51] more,43 [51] additional,health Top Word Pairs in Tweet in G6:
[6] covid,19 [6] death,reports [4] sciencebychoice,bulkbiker [4] bulkbiker,thepostermafia [4] thepostermafia,clairek14001817 [4] clairek14001817,gerarddelaney39 [4] gerarddelaney39,crewelon [4] crewelon,laplapie5 [4] laplapie5,zelah_t [4] zelah_t,fieldofgreeninc Top Word Pairs in Tweet in G7:
[25] covid,19 [14] sars,cov [12] human,monkeypox [11] infectious,diseases [10] clinical,features [10] observational,study [10] lancet,infectious [10] vaccine,effectiveness [9] features,management [9] management,human Top Word Pairs in Tweet in G8:
[79] upper,respiratory [79] respiratory,tract [79] viral,dna [70] prolonged,upper [69] tract,viral [69] dna,shedding [68] monkeypox,notable [68] notable,disease [68] disease,features [68] features,included Top Word Pairs in Tweet in G9:
[41] europapress,euronewses [41] euronewses,france24_es [41] france24_es,forbes_es [41] forbes_es,afpespanol [41] afpespanol,datoworld [41] datoworld,afpfactual [37] afpfactual,the_newarab [23] the_newarab,thelancet [19] thelancet,ipsnoticias [19] ipsnoticias,corresponsables Top Word Pairs in Tweet in G10:
[71] 11,research [71] research,problem [71] problem,corporate [71] corporate,power [71] power,capitalism [71] capitalism,etc [71] etc,easy [71] easy,stuff [71] stuff,solutions [70] jlacynichols,11 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: