The graph represents a network of 8,521 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, 16 April 2022 at 01:06 UTC.
The requested start date was Saturday, 16 April 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, 8-hour, 12-minute period from Tuesday, 12 April 2022 at 13:17 UTC to Friday, 15 April 2022 at 21:30 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 : 8521
Unique Edges : 6326
Edges With Duplicates : 18772
Total Edges : 25098
Number of Edge Types : 5
Retweet : 5685
MentionsInRetweet : 8651
Replies to : 992
Mentions : 9047
Tweet : 723
Self-Loops : 791
Reciprocated Vertex Pair Ratio : 0.019672131147541
Reciprocated Edge Ratio : 0.0385852090032154
Connected Components : 595
Single-Vertex Connected Components : 232
Maximum Vertices in a Connected Component : 6371
Maximum Edges in a Connected Component : 21792
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.14325
Graph Density : 0.000171352411303088
Modularity : 0.454865
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,521 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, 16 April 2022 at 01:06 UTC.
The requested start date was Saturday, 16 April 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, 8-hour, 12-minute period from Tuesday, 12 April 2022 at 13:17 UTC to Friday, 15 April 2022 at 21:30 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:
[1044] ba,ba [403] ワクチン接種後の心筋炎,心膜炎の発生頻度をまとめた研究 [403] 心膜炎の発生頻度をまとめた研究,100万接種あたりの発生頻度 [403] 100万接種あたりの発生頻度,新型コロナワクチン全体 [403] 新型コロナワクチン全体,18 [403] 18,mrnaワクチン [403] mrnaワクチン,22 [403] 22,コロナ以外のワクチン [403] コロナ以外のワクチン,56 [403] 56,実はコロナ以外のワクチンの方が多い Top Word Pairs in Tweet in G1:
[126] thelancet,estima [125] 23,millones [125] millones,infecciones [124] #covid19,estudio [124] estudio,reportado [124] reportado,thelancet [124] estima,23 [124] infecciones,#sarscov2 [124] #sarscov2,perú [124] perú,14nov2021 Top Word Pairs in Tweet in G2:
[402] ワクチン接種後の心筋炎,心膜炎の発生頻度をまとめた研究 [402] 心膜炎の発生頻度をまとめた研究,100万接種あたりの発生頻度 [402] 100万接種あたりの発生頻度,新型コロナワクチン全体 [402] 新型コロナワクチン全体,18 [402] 18,mrnaワクチン [402] mrnaワクチン,22 [402] 22,コロナ以外のワクチン [402] コロナ以外のワクチン,56 [402] 56,実はコロナ以外のワクチンの方が多い [401] mph_for_doctors,ワクチン接種後の心筋炎 Top Word Pairs in Tweet in G3:
[47] global,health [46] months,oral [45] eclinicalmed,thelancet [45] oral,itraconazole [41] discovery,science [39] destaca,artículo [39] artículo,científico [39] científico,#abdala [39] #abdala,eclinicalmed [39] thelancet,discovery Top Word Pairs in Tweet in G4:
[228] health,centres [119] drtedros,shame [119] shame,pride [119] pride,amhara [119] amhara,afar [119] afar,41 [119] 41,hospitals [119] hospitals,470 [119] 470,health [119] centres,1892 Top Word Pairs in Tweet in G5:
[276] ba,ba [138] omicron,ba [138] ba,variants [138] variants,similar [138] similar,neutralizing [138] neutralizing,antibody [138] antibody,responses [138] responses,potent [138] potent,3rd [138] 3rd,dose Top Word Pairs in Tweet in G6:
[254] children,appear [254] appear,important [254] important,source [254] source,extra [254] extra,household [254] household,infections [254] infections,key [254] key,role [254] role,community [254] community,transmission Top Word Pairs in Tweet in G7:
[417] ba,ba [201] variantes,ómicron [201] ómicron,ba [201] ba,presentan [201] presentan,capacidad [201] capacidad,similar [201] similar,evadir [201] evadir,respuesta [201] respuesta,inmunitaria [200] gorka_orive,variantes Top Word Pairs in Tweet in G8:
[39] covid,19 [19] sars,cov [15] 19,vaccination [9] cov,omicron [8] infectious,diseases [8] myopericarditis,following [8] non,covid [7] 1970,2017 [7] due,covid [7] 19,pandemic Top Word Pairs in Tweet in G9:
[9] fvckyourfear,pompili_amanda [7] handmadekathy,skepticalmutant [7] plhartungrn,matthewnewell67 [7] matthewnewell67,consequentialbr [7] consequentialbr,jondaley7 [7] jonathanhannah,maureenstroud [7] monstercoyliar,tomsirolimus [7] tomsirolimus,sallyjiggles [7] sallyjiggles,liznyc13 [7] butterednoodie,kayvonpaul Top Word Pairs in Tweet in G10:
[161] ba,ba [82] große,metaanalyse [82] metaanalyse,405 [82] 405,272 [82] 272,721 [82] 721,datensätzen [82] datensätzen,impfungen [82] impfungen,häufigkeit [82] häufigkeit,herzmuskelentzündung [82] herzmuskelentzündung,zusammenhang 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 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: