The graph represents a network of 6,544 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 December 2022 at 12:16 UTC.
The requested start date was Saturday, 10 December 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 49-day, 23-hour, 44-minute period from Thursday, 20 October 2022 at 21:26 UTC to Friday, 09 December 2022 at 21:11 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 : 6544
Unique Edges : 9106
Edges With Duplicates : 15014
Total Edges : 24120
Number of Edge Types : 5
Retweet : 4120
MentionsInRetweet : 8768
Mentions : 9042
Replies to : 2011
Tweet : 179
Self-Loops : 238
Reciprocated Vertex Pair Ratio : 0.0253948375426146
Reciprocated Edge Ratio : 0.0495318224996607
Connected Components : 74
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 6350
Maximum Edges in a Connected Component : 23876
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.65588
Graph Density : 0.000344205924545801
Modularity : 0.408499
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,544 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 December 2022 at 12:16 UTC.
The requested start date was Saturday, 10 December 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 49-day, 23-hour, 44-minute period from Thursday, 20 October 2022 at 21:26 UTC to Friday, 09 December 2022 at 21:11 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 : jama_current
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:
[654] jama_current,part [647] mkeulemans,jama_current [636] jama_current,hansvantelling [562] part,jamanetwork [476] covid,19 [452] long,covid [442] jama_current,dosage [428] critique,chez [428] l'article,vient [428] dosage,critique Top Word Pairs in Tweet in G1:
[422] long,covid [393] endothelial,dysfunction [391] dysfunction,long [391] plus,epidemiology [391] clots,endothelial [391] proves,#longcovid [391] covid,plus [391] jama_current,proves [391] epidemiology,jama_current [391] micro,clots Top Word Pairs in Tweet in G2:
[465] jama_current,part [461] part,jamanetwork [318] covid,19 [295] jama_current,jamanetwork [135] 19,jama_current [117] mild,moderate [116] outpatients,mild [112] moderate,covid [101] vs,placebo [97] caulfieldtim,jama_current Top Word Pairs in Tweet in G3:
[55] long,term [43] paper,jama_current [41] outcomes,#ecmo [41] #ecmo,lacking [41] brief,thread [41] term,outcomes [41] literature,brief [41] lacking,literature [41] thread,paper [40] jama_current,lookin Top Word Pairs in Tweet in G4:
[434] jama_current,dosage [421] 10,7800 [420] ans,10 [420] enfants,lt [420] critique,chez [420] dosage,critique [420] l'article,vient [420] selon,l'article [420] lt,ans [420] chez,enfants Top Word Pairs in Tweet in G5:
[637] mkeulemans,jama_current [626] jama_current,hansvantelling [94] nog,steeds [93] joostjansen6,mkeulemans [47] doorslaand,succes [46] ziet,meteen [44] alweer,zo'n [44] anne66,joostjansen6 [44] toevallig,vandaag [44] zo'n,doorslaand Top Word Pairs in Tweet in G6:
[56] excess,mortality [47] million,clinicians [46] zekeemanuel,jama_current [42] value,based [42] based,payment [42] largest,value [42] kathryn_dthomp,zekeemanuel [41] july,2021 [41] jama_current,july [41] sharing,update Top Word Pairs in Tweet in G7:
[53] childhood,experiences [53] experiences,ace [53] adolescents,reported [53] adverse,experience [53] such,abuse [53] reported,adverse [53] experience,such [53] ace,adolescents [53] adverse,childhood [52] monicagandhi9,adverse Top Word Pairs in Tweet in G8:
[28] tweetorial,alert [28] jama_current,part [28] last,week [24] part,jamanetwork [19] dusetzinas,tweetorial [18] busy,week [18] tweets,khrystabaig [18] #insulin,tweets [18] week,busy [18] khrystabaig,saved Top Word Pairs in Tweet in G9:
[56] jama_current,part [52] estimate,10 [52] lost,parent [52] #covid19,jama_current [52] caregiver,#covid19 [52] million,children [52] children,lost [52] parent,caregiver [52] 10,million [51] globalbiosec,estimate Top Word Pairs in Tweet in G10:
[17] ehljama,howardbauchner [14] howardbauchner,drkatznychh [11] nejm,jama_current [9] kimreynoldsia,hhsgov [9] hhsgov,cmsgov [9] drkatznychh,kimreynoldsia [9] acgmereq,nejm [9] acgmei,acgmereq [9] karenunrue,ehljama [9] cmsgov,acgmei Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: