The graph represents a network of 5,358 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, 10 May 2021 at 05:40 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, 22-minute period from Thursday, 06 May 2021 at 01:51 UTC to Sunday, 09 May 2021 at 11:13 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 : 5358
Unique Edges : 4365
Edges With Duplicates : 15221
Total Edges : 19586
Number of Edge Types : 5
Replies to : 684
Mentions : 4514
Tweet : 1362
Retweet : 5275
MentionsInRetweet : 7751
Self-Loops : 1427
Reciprocated Vertex Pair Ratio : 0.0510939982887178
Reciprocated Edge Ratio : 0.0972206070473311
Connected Components : 318
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 4406
Maximum Edges in a Connected Component : 18132
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.577278
Graph Density : 0.000299587434064809
Modularity : 0.385381
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,358 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, 10 May 2021 at 05:40 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, 22-minute period from Thursday, 06 May 2021 at 01:51 UTC to Sunday, 09 May 2021 at 11:13 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:
[539] #medtwitter,#meded [500] more,medical [494] medical,news [213] make,sense [212] dermatomes,imagine [212] imagine,patient [212] patient,position [212] position,suddenly [212] suddenly,make [212] sense,#meded Top Word Pairs in Tweet in G1:
[445] more,medical [441] medical,news [345] #medtwitter,#meded [156] #ambulance,#paramedic [98] news,#epidemiology [93] #paramedic,#doctors [85] #meded,#foamed [84] #doctors,#nurses [84] #nurses,#nhs [84] #nhs,#medicare Top Word Pairs in Tweet in G2:
[195] dermatomes,imagine [195] imagine,patient [195] patient,position [195] position,suddenly [195] suddenly,make [195] make,sense [195] sense,#meded [194] drkeithsiau,dermatomes [152] steroid,conversion [152] conversion,chart Top Word Pairs in Tweet in G3:
[42] mimickers,celiac [42] celiac,disease [42] disease,causes [42] causes,villi [42] villi,changes [42] changes,#gitwitter [42] #gitwitter,#meded [41] km_pawlak,mimickers [40] intraosseous,io [40] io,access Top Word Pairs in Tweet in G4:
[75] iuidfellowship,#idboardreview [36] inspired,caseyalbin [36] caseyalbin,created [36] created,#moment [36] #moment,#endneurophobia [36] #endneurophobia,tweetorials [36] tweetorials,please [36] please,provide [36] provide,feedback [36] feedback,know Top Word Pairs in Tweet in G5:
[97] #pocus,#impocus [92] nephrop,#pocus [85] image,day [83] #impocus,#nephrology [83] #nephrology,image [83] day,back [83] back,basics [83] basics,lung [83] lung,#ultrasound [83] #ultrasound,lines Top Word Pairs in Tweet in G6:
[172] #sleep,#dementia [172] #dementia,naturecomms [172] naturecomms,study [172] study,000 [172] 000,people [172] people,followed [172] followed,25 [172] 25,years [172] years,look [172] look,figures Top Word Pairs in Tweet in G7:
[33] dr,nina [30] chronic,fatigue [22] myalgic,encephalomyelitis [20] fatigue,syndrome [18] encephalomyelitis,chronic [18] #mecfs,#longcovid [18] #meded,#medtwitter [17] history,cfs [17] cfs,exercise [17] exercise,one Top Word Pairs in Tweet in G8:
[78] examining,patient [78] patient,detect [78] detect,signs [78] signs,cushing's [78] cushing's,syndrome [78] syndrome,tell [78] tell,long [78] long,term [78] term,steroids [76] inglisjosh,examining Top Word Pairs in Tweet in G9:
[10] #meded,#medtwitter [4] #medtwitter,#meded [4] #medtwitter,#medstudenttwitter [4] medical,center [4] centennial,hills [4] based,blood [3] #meded,#medicaleducation [3] #meded,#healthcare [3] üzerine,olsun [3] link,bio Top Word Pairs in Tweet in G10:
[59] #medtwitter,#meded [58] #meded,#foamed [21] autonomic,dysreflexia [21] dysreflexia,minutes [21] minutes,#medtwitter [21] #foamed,#sci [21] #sci,#physio [20] drmiketodorovic,autonomic [15] inflammation,#medtwitter [14] drmiketodorovic,inflammation 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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Top Tweeters in G10: