The graph represents a network of 5,208 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 July 2021 at 05:34 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 21-hour, 40-minute period from Wednesday, 30 June 2021 at 13:30 UTC to Sunday, 04 July 2021 at 11:11 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 : 5208
Unique Edges : 4310
Edges With Duplicates : 14858
Total Edges : 19168
Number of Edge Types : 5
Retweet : 5073
Tweet : 1359
MentionsInRetweet : 7552
Replies to : 860
Mentions : 4324
Self-Loops : 1446
Reciprocated Vertex Pair Ratio : 0.0483285338675347
Reciprocated Edge Ratio : 0.0922011226561567
Connected Components : 312
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 4290
Maximum Edges in a Connected Component : 15635
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.637476
Graph Density : 0.000308761070483813
Modularity : 0.376593
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,208 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 July 2021 at 05:34 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 21-hour, 40-minute period from Wednesday, 30 June 2021 at 13:30 UTC to Sunday, 04 July 2021 at 11:11 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 : meded
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:
[584] #medtwitter,#meded [485] more,medical [481] medical,news [417] #meded,#medtwitter [280] #meded,#gitwitter [183] vitamin,b12 [183] b12,deficiency [183] deficiency,causes [183] causes,consequences [183] consequences,#meded Top Word Pairs in Tweet in G1:
[79] more,medical [77] medical,news [66] #meded,#medtwitter [36] #medtwitter,#meded [34] #meded,#foamed [27] social,media [25] excited,announce [25] announce,recruiting [25] recruiting,very [25] very,important Top Word Pairs in Tweet in G2:
[256] #meded,#gitwitter [174] vitamin,b12 [174] b12,deficiency [174] deficiency,causes [174] causes,consequences [174] consequences,#meded [173] drkeithsiau,vitamin [84] management,pancreatic [84] pancreatic,exocrine [84] exocrine,insufficiency Top Word Pairs in Tweet in G3:
[86] more,medical [84] medical,news [83] #medtwitter,#meded [33] #meded,#foamed [29] #meded,#medtwitter [19] covid,19 [15] news,#ophthalmology [15] great,#review [15] #review,#covid19 [15] #covid19,neurological Top Word Pairs in Tweet in G4:
[218] more,medical [218] medical,news [209] #medtwitter,#meded [88] news,#epidemiology [81] #epidemiology,#medtwitter [67] #meded,#medtwitter [66] news,#oncology [63] #oncology,#medtwitter [45] july,1st [41] 1st,big Top Word Pairs in Tweet in G5:
[111] #meded,#medtwitter [101] read,more [101] more,#meded [100] #medtwitter,#foamed [99] diabetic,ketoacidosis [99] ketoacidosis,dka [99] dka,algorithm [99] algorithm,read [98] manualomedicine,diabetic [98] #foamed,#medicin Top Word Pairs in Tweet in G6:
[81] #pocus,#impocus [81] #impocus,#meded [67] fox,tail [67] tail,sign [67] sign,#pocus [66] nephrop,fox [55] #medtwitter,#meded [54] future,fist [54] fist,use [54] use,next Top Word Pairs in Tweet in G7:
[88] #medtech,#meded [88] #meded,#pharma [86] #mhealth,#medtech [73] #pharma,#ai [73] #ai,#biotech [66] #clinicaltrials,#teckrotheanswer [58] #teckrotheanswer,#clinicaltrial [55] #protocol,#mhealth [54] clinical,trial [47] #trials,#protocol Top Word Pairs in Tweet in G8:
[151] very,early [151] early,study [151] study,couldn [151] couldn,wrap [151] wrap,head [151] head,around [151] around,during [151] during,diastole [151] diastole,relaxation [151] relaxation,blood Top Word Pairs in Tweet in G9:
[34] first,day [25] july,1st [16] meded,national [16] national,holiday [16] holiday,july [16] 1st,great [16] great,first [15] kidney_boy,meded [14] blood,gas [14] gas,interpretation Top Word Pairs in Tweet in G10:
[53] more,medical [52] medical,news [38] #medtwitter,#meded [31] news,#cardiotwitter [30] #cardiotwitter,#medtwitter [27] #peru,#bolivia [24] rafael52987,#notisalud [24] #bolivia,#venezuela [24] #venezuela,#chile [23] #colombia,#ecuador Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G9:
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: