The graph represents a network of 5,083 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, 11 October 2021 at 05:39 UTC.
The requested start date was Monday, 11 October 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, 19-hour, 17-minute period from Tuesday, 05 October 2021 at 15:52 UTC to Saturday, 09 October 2021 at 11:10 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 : 5083
Unique Edges : 4524
Edges With Duplicates : 13500
Total Edges : 18024
Number of Edge Types : 5
Retweet : 5192
MentionsInRetweet : 7610
Mentions : 3234
Replies to : 410
Tweet : 1578
Self-Loops : 1648
Reciprocated Vertex Pair Ratio : 0.0559061080262494
Reciprocated Edge Ratio : 0.105892195530059
Connected Components : 330
Single-Vertex Connected Components : 110
Maximum Vertices in a Connected Component : 3944
Maximum Edges in a Connected Component : 15100
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.672558
Graph Density : 0.000323903020950219
Modularity : 0.399497
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,083 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, 11 October 2021 at 05:39 UTC.
The requested start date was Monday, 11 October 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, 19-hour, 17-minute period from Tuesday, 05 October 2021 at 15:52 UTC to Saturday, 09 October 2021 at 11:10 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:
[880] #medtwitter,#meded [646] more,date [619] date,medical [575] medical,headlines [513] headlines,visit [487] more,medical [482] medical,news [469] #meded,#mednews [409] ø,ø [291] ø,ù Top Word Pairs in Tweet in G1:
[92] #medtwitter,#meded [68] more,medical [67] medical,news [59] more,date [53] date,medical [47] medical,headlines [42] #meded,#medtwitter [36] headlines,visit [19] #meded,#foamed [18] covid,19 Top Word Pairs in Tweet in G2:
[44] #hmieducators,#meded [37] #meded,#hpe [36] harvardmacy,#hmieducators [30] #meded,#medtwitter [29] more,date [28] #hmieducators,#bluebirdtweeters [28] #bluebirdtweeters,today [28] today,spotlight [26] medical,educators [26] date,medical Top Word Pairs in Tweet in G3:
[558] more,date [540] date,medical [506] medical,headlines [495] #medtwitter,#meded [459] headlines,visit [455] #meded,#mednews [368] more,medical [365] medical,news [287] visit,#medicalnews [274] #medicalnews,#medtwitter Top Word Pairs in Tweet in G4:
[58] ph,coca [58] coca,cola [58] cola,drinks [58] drinks,#meded [58] #meded,comparison [58] comparison,gastric [58] gastric,acid [58] acid,ph [58] ph,critical [58] critical,ph Top Word Pairs in Tweet in G5:
[71] right,heart [70] casually,walking [70] walking,patient [70] patient,room [70] room,ultrasound [70] ultrasound,check [70] check,right [70] heart,strain [70] strain,consult [70] consult,pe Top Word Pairs in Tweet in G6:
[81] #medtwitter,#meded [74] #teamgp,#longcovid [54] slide,shared [54] shared,scotgovhealth [54] scotgovhealth,webinar [54] webinar,#teamgp [54] #longcovid,today [54] today,#medtwitter [54] #meded,need [53] amyismall,slide Top Word Pairs in Tweet in G7:
[22] paul_wischmeyer,âš [20] classics,endoscopy [20] endoscopy,series [20] series,eus [20] eus,station [20] station,d1 [20] d1,d2 [20] d2,d3 [20] d3,classic [20] kiss,ampulla Top Word Pairs in Tweet in G8:
[18] join,hybrid [18] hybrid,researching [18] researching,medical [18] medical,education [18] education,conference [18] conference,rme2021 [18] rme2021,learn [18] learn,network [18] network,#meded [18] #meded,professionals Top Word Pairs in Tweet in G9:
[29] #medtwitter,#meded [29] more,medical [27] medical,news [16] #cardiotwitter,#medtwitter [13] earn,cme [13] cme,cne [13] cne,credit [13] credit,cvd [13] cvd,prevention [13] prevention,symposium Top Word Pairs in Tweet in G10:
[11] #medtwitter,#meded [8] #meded,#medtwitter [6] #premed,#meded [5] learn,more [5] course,free [4] #meded,#foamed [4] video,emergency [4] emergency,procedures [4] procedures,masterclass [4] masterclass,start 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:
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Top Tweeters in G10: