The graph represents a network of 9,138 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, 05 February 2022 at 02:16 UTC.
The requested start date was Saturday, 05 February 2022 at 01:01 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, 8-hour, 5-minute period from Tuesday, 01 February 2022 at 13:22 UTC to Thursday, 03 February 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 : 9138
Unique Edges : 7241
Edges With Duplicates : 16393
Total Edges : 23634
Number of Edge Types : 5
Replies to : 1249
Retweet : 5228
MentionsInRetweet : 8325
Tweet : 834
Mentions : 7998
Self-Loops : 900
Reciprocated Vertex Pair Ratio : 0.0284980332343261
Reciprocated Edge Ratio : 0.055416796753044
Connected Components : 849
Single-Vertex Connected Components : 326
Maximum Vertices in a Connected Component : 6366
Maximum Edges in a Connected Component : 20035
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.961508
Graph Density : 0.000153448324719651
Modularity : 0.490192
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,138 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, 05 February 2022 at 02:16 UTC.
The requested start date was Saturday, 05 February 2022 at 01:01 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, 8-hour, 5-minute period from Tuesday, 01 February 2022 at 13:22 UTC to Thursday, 03 February 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:
[996] vaccine,mandates [991] lancet,article [990] covid,vaccines [988] reducing,transmission [986] article,noting [986] vaccines,reducing [985] noting,covid [985] transmission,vaccine [985] mandates,basis [981] bell00david,lancet Top Word Pairs in Tweet in G1:
[166] end,life [155] good,death [147] life,denying [147] denying,people [146] increasing,overmedicalisation [145] overmedicalisation,end [145] people,families [145] families,good [136] death,towards [135] towards,compassionate Top Word Pairs in Tweet in G2:
[951] lancet,article [950] article,noting [950] vaccine,mandates [949] noting,covid [949] covid,vaccines [949] vaccines,reducing [949] reducing,transmission [949] transmission,vaccine [949] mandates,basis [947] bell00david,lancet Top Word Pairs in Tweet in G3:
[49] infection,fatality [41] tombollyky,study [41] estudio,thelancet [41] thelancet,encontró [41] encontró,factores [41] factores,influyeron [41] influyeron,impacto [41] impacto,covid [41] covid,letalidad [41] letalidad,distintos Top Word Pairs in Tweet in G4:
[47] covid,19 [39] sars,cov [21] fully,vaccinated [20] transmissibility,sars [20] cov,fully [20] vaccinated,individuals [16] fatality,rates [15] pandemic,preparedness [15] infection,fatality [15] 177,countries Top Word Pairs in Tweet in G5:
[67] south,africa [67] africa,moving [67] moving,season [67] season,mandatory [67] mandatory,vaccinations [67] vaccinations,those [67] those,wishing [67] wishing,work [67] work,study [66] proftimnoakes,south Top Word Pairs in Tweet in G6:
[4] chris_f_carson,rw_christian [4] rw_christian,pawley_robert [4] pawley_robert,burgerlab12 [4] burgerlab12,chrisjohnsonmd [4] chrisjohnsonmd,carlsmythe [4] carlsmythe,mcfunny [4] mcfunny,rtheatheist [3] catvaxlax,sarah_allsop [3] sarah_allsop,bread_baking [3] mattjones_space,chris_f_carson Top Word Pairs in Tweet in G7:
[13] europapress,euronewses [13] euronewses,france24_es [13] france24_es,forbes_es [12] forbes_es,afpespanol [10] inemexico,c_humphrey_j [10] c_humphrey_j,lorenzocordovav [10] lorenzocordovav,europapress [10] afpespanol,afpfactual [9] the_newarab,thelancet [8] datoworld,the_newarab Top Word Pairs in Tweet in G8:
[58] rady,medycznej [57] nie,wiem [57] wiem,ile [57] ile,osób [57] osób,widziało [57] widziało,ale [57] ale,byli [57] byli,członkowie [57] członkowie,rady [57] medycznej,poskarżyli Top Word Pairs in Tweet in G9:
[33] #covid,19 [24] type,diabetes [24] #t1d,#t2d [21] industry,influence [17] management,primary [17] primary,treatment [17] treatment,goal [17] goal,type [17] diabetes,time [17] time,reframe Top Word Pairs in Tweet in G10:
[29] background,war [29] war,famine [27] catastrophe,unfolding [27] unfolding,background [27] medical,catastrophe [20] tirgume,dear [20] tirgume,#allowaccesstotigray [20] famine,humanitarian [20] humanitarian,tragedy [20] people,#tigray Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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