The graph represents a network of 8,904 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, 23 April 2022 at 01:39 UTC.
The requested start date was Saturday, 23 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 4-day, 7-hour, 15-minute period from Monday, 18 April 2022 at 14:07 UTC to Friday, 22 April 2022 at 21:23 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 : 8904
Unique Edges : 6496
Edges With Duplicates : 15601
Total Edges : 22097
Number of Edge Types : 5
Retweet : 5570
MentionsInRetweet : 8082
Replies to : 941
Mentions : 6676
Tweet : 828
Self-Loops : 906
Reciprocated Vertex Pair Ratio : 0.0209211940792194
Reciprocated Edge Ratio : 0.0409849343917058
Connected Components : 692
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 5959
Maximum Edges in a Connected Component : 17533
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.707012
Graph Density : 0.000155741641545664
Modularity : 0.509648
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,904 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, 23 April 2022 at 01:39 UTC.
The requested start date was Saturday, 23 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 4-day, 7-hour, 15-minute period from Monday, 18 April 2022 at 14:07 UTC to Friday, 22 April 2022 at 21:23 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:
[336] vacuna,abdala [330] appeal,thelancet [330] thelancet,protect [330] protect,hospitals [330] hospitals,#tigray [330] #tigray,attack [330] attack,plead [330] plead,assistance [330] assistance,civilian [325] estudio,publicado Top Word Pairs in Tweet in G1:
[330] appeal,thelancet [330] thelancet,protect [330] protect,hospitals [330] hospitals,#tigray [330] #tigray,attack [330] attack,plead [330] plead,assistance [330] assistance,civilian [278] civilian,population [174] great_tgray,appeal Top Word Pairs in Tweet in G2:
[52] covid,19 [45] global,health [44] early,detection [43] public,health [42] sars,cov [38] #covid,19 [35] emergency,department [33] issue,live [31] missed,opportunity [31] opportunity,covid Top Word Pairs in Tweet in G3:
[18] drtedros,shame [18] shame,pride [18] pride,amhara [18] amhara,afar [18] afar,41 [18] 41,hospitals [18] hospitals,470 [18] 470,health [18] health,centres [18] centres,1892 Top Word Pairs in Tweet in G4:
[331] vacuna,abdala [304] único,estudio [304] estudio,publicado [304] publicado,vacuna [304] abdala,ensayo [304] ensayo,clínico [304] clínico,fases [304] fases,792 [304] 792,personas [304] personas,19 Top Word Pairs in Tweet in G5:
[272] mrnaワクチン固有の副反応と思われていた心筋炎ですが,これまでにある他のワクチンでも生じていたようです [272] これまでにある他のワクチンでも生じていたようです,一番高いのは天然痘ワクチンで [272] 一番高いのは天然痘ワクチンで,新型コロナワクチンは比較的頻度が低く [272] 新型コロナワクチンは比較的頻度が低く,インフルワクチンとも有意差なしとの結果になりました [271] mikito_777,mrnaワクチン固有の副反応と思われていた心筋炎ですが [271] インフルワクチンとも有意差なしとの結果になりました,htt [27] 研究はlancet,public [27] public,health掲載 [27] health掲載,図はeric [27] 図はeric,topol医師の投稿から引用させて頂いた Top Word Pairs in Tweet in G6:
[318] ワクハラに対抗するためには,コロワクを打っても感染するし [318] コロワクを打っても感染するし,感染すれば他者にうつすことを [318] 感染すれば他者にうつすことを,もっと強く言うべきだと思う [318] もっと強く言うべきだと思う,それが周知されてないから [318] それが周知されてないから,打たないと実習させない [318] 打たないと実習させない,打たないと働かせない [318] 打たないと働かせない,って [318] って,上から平気で言うんですよね [317] torutoridamari,ワクハラに対抗するためには [317] 上から平気で言うんですよね,ht Top Word Pairs in Tweet in G7:
[189] tweeted,paper [188] year,set [188] set,evidence [188] evidence,#covidisairborne [188] #covidisairborne,still [188] still,tweeted [188] paper,published [187] trishgreenhalgh,year [22] government,chose [22] chose,bypass Top Word Pairs in Tweet in G8:
[54] europapress,euronewses [54] euronewses,france24_es [54] france24_es,forbes_es [37] forbes_es,afpespanol [33] afpespanol,datoworld [33] datoworld,afpfactual [33] afpfactual,the_newarab [27] the_newarab,thelancet [26] _ryo_hermoso,gigigolddlaura [26] gigigolddlaura,mario_delgado Top Word Pairs in Tweet in G9:
[36] covid,19 [19] sars,cov [14] lowering,sodium [14] sodium,intake [14] help,heart [14] heart,patients [12] intake,doesn [12] doesn,help [6] lancet,psychiatry [6] infectious,diseases Top Word Pairs in Tweet in G10:
[14] kathyga28615606,richykirsh [14] highjanky,nuhope2022 [14] nuhope2022,volpiranyas [14] handmadekathy,nomisinfotoday [14] nomisinfotoday,plhartungrn [12] richykirsh,theanswer50 [12] volpiranyas,handmadekathy [12] noonienoodie,sammy44231 [12] maureenstroud,monstercoyliar [12] sassygirld1,thatsnotmine125 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 G7:
Top Replied-To in G8:
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: