The graph represents a network of 5,257 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 Tuesday, 11 May 2021 at 05:39 UTC.
The requested start date was Monday, 10 May 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, 9-hour, 13-minute period from Thursday, 06 May 2021 at 14:35 UTC to Sunday, 09 May 2021 at 23:49 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 : 5257
Unique Edges : 4200
Edges With Duplicates : 15421
Total Edges : 19621
Number of Edge Types : 5
Retweet : 5198
MentionsInRetweet : 7520
Mentions : 4758
Replies to : 756
Tweet : 1389
Self-Loops : 1456
Reciprocated Vertex Pair Ratio : 0.0518147684605757
Reciprocated Edge Ratio : 0.0985245121370776
Connected Components : 302
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 4311
Maximum Edges in a Connected Component : 18177
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.448992
Graph Density : 0.000304153424194283
Modularity : 0.370021
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,257 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 Tuesday, 11 May 2021 at 05:39 UTC.
The requested start date was Monday, 10 May 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, 9-hour, 13-minute period from Thursday, 06 May 2021 at 14:35 UTC to Sunday, 09 May 2021 at 23:49 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:
[482] #medtwitter,#meded [439] more,medical [433] medical,news [257] make,sense [256] dermatomes,imagine [256] imagine,patient [256] patient,position [256] position,suddenly [256] suddenly,make [256] sense,#meded Top Word Pairs in Tweet in G1:
[232] dermatomes,imagine [232] imagine,patient [232] patient,position [232] position,suddenly [232] suddenly,make [232] make,sense [232] sense,#meded [231] drkeithsiau,dermatomes [169] steroid,conversion [169] conversion,chart Top Word Pairs in Tweet in G2:
[66] more,medical [64] medical,news [41] #meded,#medtwitter [41] #meded,#foamed [39] #medtwitter,#meded [33] #hmieducators,course [29] #meded,#hpe [22] course,starts [18] harvardmacy,#hmieducators [18] learn,more Top Word Pairs in Tweet in G3:
[63] more,medical [62] medical,news [39] #medtwitter,#meded [33] #ambulance,#paramedic [21] #meded,#medtwitter [21] academic,half [21] half,days [20] think,nation [20] nation,wide [20] wide,teaching Top Word Pairs in Tweet in G4:
[204] more,medical [203] medical,news [180] #medtwitter,#meded [110] okuyankukumav,meded_i [89] #ambulance,#paramedic [83] #paramedic,#doctors [83] #doctors,#nurses [83] #nurses,#nhs [83] #nhs,#medicare [83] #medicare,#medicaid Top Word Pairs in Tweet in G5:
[57] examining,patient [57] patient,detect [57] detect,signs [57] signs,cushing's [57] cushing's,syndrome [57] syndrome,tell [57] tell,long [57] long,term [57] term,steroids [55] inglisjosh,examining Top Word Pairs in Tweet in G6:
[76] #medtwitter,#meded [73] more,medical [71] medical,news [48] news,#cardiotwitter [44] intraosseous,io [44] io,access [44] access,key [44] key,points [44] points,common [44] common,intraosseous Top Word Pairs in Tweet in G7:
[61] #pocus,#impocus [53] nephrop,#pocus [45] #impocus,#nephrology [45] #nephrology,image [45] image,day [45] day,back [45] back,basics [45] basics,lung [45] lung,#ultrasound [45] #ultrasound,lines Top Word Pairs in Tweet in G8:
[35] dr,nina [29] chronic,fatigue [25] #meded,#medtwitter [24] #meded,#foamed [21] myalgic,encephalomyelitis [20] #mecfs,#longcovid [19] 700,#healthcare [19] #healthcare,profs [19] profs,completed [19] completed,dr Top Word Pairs in Tweet in G9:
[9] first,pitch [9] pitch,contest [8] #meded,#medtwitter [6] serve,best [6] best,helping [6] helping,knowledge [6] knowledge,food [6] food,15th [6] 15th,fast [6] fast,approaching Top Word Pairs in Tweet in G10:
[8] #meded,#medtwitter [6] #medtwitter,#meded [4] based,blood [4] side,effects [3] #medtwitter,#medstudenttwitter [3] üzerine,olsun [3] #meded,#foamed [2] save,date [2] date,4th [2] 4th,united Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: