The graph represents a network of 8,117 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, 13 August 2022 at 01:38 UTC.
The requested start date was Saturday, 13 August 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 2-day, 13-hour, 25-minute period from Wednesday, 10 August 2022 at 08:02 UTC to Friday, 12 August 2022 at 21:28 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 : 8117
Unique Edges : 4257
Edges With Duplicates : 14642
Total Edges : 18899
Number of Edge Types : 5
Retweet : 6245
MentionsInRetweet : 8190
Tweet : 631
Mentions : 3279
Replies to : 554
Self-Loops : 678
Reciprocated Vertex Pair Ratio : 0.0158853912873989
Reciprocated Edge Ratio : 0.0312739831158864
Connected Components : 551
Single-Vertex Connected Components : 227
Maximum Vertices in a Connected Component : 6550
Maximum Edges in a Connected Component : 16923
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.570815
Graph Density : 0.000158232911194723
Modularity : 0.509068
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 8,117 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, 13 August 2022 at 01:38 UTC.
The requested start date was Saturday, 13 August 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 2-day, 13-hour, 25-minute period from Wednesday, 10 August 2022 at 08:02 UTC to Friday, 12 August 2022 at 21:28 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:
[787] artan,şiddet [742] düşük,ücretler [742] ücretler,ve [680] şiddet,nedeniyle [675] global,burden [665] inflammatory,bowel [663] chronic,inflammatory [663] inflammatory,diseases [643] diseases,such [643] such,inflammatory Top Word Pairs in Tweet in G1:
[212] artan,şiddet [175] düşük,ücretler [175] ücretler,ve [175] düşük,ücret [174] ücret,artan [158] dergisi,thelancet [140] tıp,dergisi [138] sağlık,çalışanları [138] ve,yükselen [137] dünyanın,önde Top Word Pairs in Tweet in G2:
[111] bcg,vaccine [111] overall,effectiveness [108] adolescents,adults [107] vaccine,century [107] century,old [107] old,overall [107] effectiveness,18 [107] 18,ineffective [107] ineffective,adolescents [107] adults,protect Top Word Pairs in Tweet in G3:
[609] ultraprocessed,foods [609] foods,contributed [609] contributed,global [609] global,burden [609] burden,chronic [609] chronic,inflammatory [609] inflammatory,diseases [609] diseases,such [609] such,inflammatory [609] inflammatory,bowel Top Word Pairs in Tweet in G4:
[567] artan,şiddet [564] şiddet,nedeniyle [562] düşük,ücretler [562] ücretler,ve [561] lancet,türk [561] türk,doktorların [561] doktorların,düşük [561] ve,artan [561] nedeniyle,göçtükleri [561] göçtükleri,ile Top Word Pairs in Tweet in G5:
[579] trabajo,estudia [579] estudia,asociación [579] asociación,consumo [579] consumo,alimentos [579] alimentos,ultraprocesados [579] ultraprocesados,aparición [579] aparición,algunas [579] algunas,enfermedades [578] gorka_orive,trabajo [578] enfermedades,infl Top Word Pairs in Tweet in G6:
[153] monkeypox,virus [152] evidence,human [152] human,dog [152] dog,transmission [152] transmission,monkeypox [80] go,evidence [80] virus,aleksj [79] mildanalyst,go [62] 12,days [61] italian,greyhound Top Word Pairs in Tweet in G7:
[136] femmes,enceintes [135] étude,canadienne [108] france,info [108] cette,étude [107] laisse,apprécier [107] apprécier,conclusion [107] conclusion,france [107] info,cette [107] canadienne,vaccin [107] vaccin,chez Top Word Pairs in Tweet in G8:
[21] covid,19 [18] monkeypox,virus [16] human,dog [16] dog,transmission [15] transmission,monkeypox [14] evidence,human [11] cohort,study [10] human,health [9] sars,cov [9] ultra,processed Top Word Pairs in Tweet in G9:
[223] heat,deaths [215] badly,informed [215] informed,media [215] media,endlessly [215] endlessly,tell [213] bjornlomborg,badly [206] deaths,england [198] tell,several [198] several,thousands [198] thousands,heat Top Word Pairs in Tweet in G10:
[113] アメリカのサル痘の感染者数が１万人を超えました,僕の働くdcは一時期人口当たりの感染者が最も多い州に [113] 僕の働くdcは一時期人口当たりの感染者が最も多い州に,フランスではヒトから犬の感染も確認され [113] フランスではヒトから犬の感染も確認され,今後ヒト [113] 今後ヒト,動物に広がっていけばサル痘の流行は長期に続きそうです [112] kosuke_yasukawa,アメリカのサル痘の感染者数が１万人を超えました [63] イヌから他の動物やヒトへの感染性はまだ不明,プレーリードッグや霊長類への感染は過去にも報告あり [63] プレーリードッグや霊長類への感染は過去にも報告あり,ペットを含めた隔離なども検討が必要か [62] sukunabikona7,イヌから他の動物やヒトへの感染性はまだ不明 [19] ノババックス接種も回数を追うごとにやや有害事象は増加,発熱は比較的少ない [19] 発熱は比較的少ない,ba 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 G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: