The graph represents a network of 5,508 Twitter users whose recent tweets contained "thelancet", 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 02:37 UTC.
The tweets in the network were tweeted over the 1641-day, 3-hour, 27-minute period from Tuesday, 11 September 2018 at 21:30 UTC to Saturday, 11 March 2023 at 00:58 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 : 5508
Unique Edges : 3987
Edges With Duplicates : 11250
Total Edges : 15237
Number of Edge Types : 9
Retweet : 3815
MentionsInRetweet : 5734
MentionsInReplyTo : 3229
Replies to : 982
Tweet : 479
Mentions : 599
Quote : 111
MentionsInQuote : 150
MentionsInQuoteReply : 138
Self-Loops : 844
Reciprocated Vertex Pair Ratio : 0.0249293872037333
Reciprocated Edge Ratio : 0.0486460579918524
Connected Components : 407
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 4199
Maximum Edges in a Connected Component : 12540
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.992252
Graph Density : 0.000275149908237209
Modularity : 0.474687
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,508 Twitter users whose recent tweets contained "thelancet", 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 02:37 UTC.
The tweets in the network were tweeted over the 1641-day, 3-hour, 27-minute period from Tuesday, 11 September 2018 at 21:30 UTC to Saturday, 11 March 2023 at 00:58 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 : 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:
[644] long,covid [634] excruciatingly,slow [633] slow,due [633] progress,excruciatingly [632] lack,attention [632] due,lack [628] thelancet,progress [628] status,#longcovid [628] years,status [628] #longcovid,editorial Top Word Pairs in Tweet in G1:
[581] progress,excruciatingly [581] slow,due [581] excruciatingly,slow [581] due,lack [581] lack,attention [577] status,#longcovid [577] editorial,thelancet [577] thelancet,progress [577] #longcovid,editorial [577] years,status Top Word Pairs in Tweet in G2:
[131] childhood,lower [130] boost,immunity [130] lower,resp [130] claim,nothing [130] fear,childhood [130] nothing,fear [130] childhood,cov [130] infections,boost [130] cov,infections [130] people,claim Top Word Pairs in Tweet in G3:
[95] jahren,bekannt [95] seit,fast [95] herz,angreift [95] bekannt,hirn [95] artikel,thelancet [95] thelancet,#longcovid [95] fast,jahren [95] guter,artikel [95] #longcovid,seit [95] hirn,herz Top Word Pairs in Tweet in G4:
[151] long,covid [123] 20,cases [123] 10,20 [116] facts,long [116] three,facts [116] affected,estimated [116] estimated,10 [116] ages,affected [116] 65,million [116] including,kids Top Word Pairs in Tweet in G5:
[60] nature,thelancet [55] thelancet,sciencemagazine [50] science,journals [49] media,nature [49] sciencemagazine,supposed [49] elite,science [49] supposed,neutral [49] journals,media [49] voices,reason [49] neutral,voices Top Word Pairs in Tweet in G6:
[104] 幼少期に呼吸器系疾患にかかると,大人になってから呼吸器系疾患で死亡するリスクが高まるとランセット [104] 子供のうちに感染した方がいいは嘘,幼少期に呼吸器系疾患にかかると [103] angama_market,子供のうちに感染した方がいいは嘘 [55] 視床の萎縮と相関しており,短期記憶の障害とも関連 [55] changes,patients [55] structural,brain [55] コロナウイルス長期障害による倦怠感の強さは,視床の萎縮と相関しており [55] 感染中の症状の重さは関係ないことがわかったという研究,structural [55] 短期記憶の障害とも関連,感染中の症状の重さは関係ないことがわかったという研究 [55] brain,changes Top Word Pairs in Tweet in G7:
[36] long,covid [22] covid,years [17] covid,19 [11] early,childhood [8] respiratory,disease [8] air,pollution [8] adult,death [8] death,respiratory [8] years,lancet [8] meta,analysis Top Word Pairs in Tweet in G8:
[30] diagnosis,management [22] pathogenesis,diagnosis [15] current,status [15] ischaemic,stroke [15] stroke,current [15] acute,ischaemic [15] future,perspectives [15] thrombolysis,acute [15] status,future [13] drugs,#cardiovascular Top Word Pairs in Tweet in G9:
[22] forbes_es,afpfactual [22] europapress,euronewses [22] euronewses,france24_es [22] france24_es,forbes_es [22] afpfactual,datoworld [18] datoworld,the_newarab [18] the_newarab,livdose [13] livdose,thelancet [12] reuters,prensalibreonli [12] axios,nytimeses Top Word Pairs in Tweet in G10:
[112] attempted,suicide [112] reviewed,comparison [112] suicide,self [112] ideation,before [112] harm,suicidal [112] visits,attempted [112] before,during [112] suicidal,ideation [112] comparison,paediatric [112] peer,reviewed Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: