The graph represents a network of 4,798 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, 18 February 2020 at 01:29 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 20-hour, 25-minute period from Wednesday, 12 February 2020 at 16:04 UTC to Friday, 14 February 2020 at 12:30 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 : 4798
Unique Edges : 6550
Edges With Duplicates : 1264
Total Edges : 7814
Number of Edge Types : 4
MentionsInRetweet : 4808
Tweet : 1031
Mentions : 1746
Replies to : 229
Self-Loops : 1031
Reciprocated Vertex Pair Ratio : 0.0311118388734239
Reciprocated Edge Ratio : 0.0603461966015563
Connected Components : 499
Single-Vertex Connected Components : 222
Maximum Vertices in a Connected Component : 3491
Maximum Edges in a Connected Component : 6176
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.252821
Graph Density : 0.000273592212306514
Modularity : 0.74147
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,798 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, 18 February 2020 at 01:29 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 20-hour, 25-minute period from Wednesday, 12 February 2020 at 16:04 UTC to Friday, 14 February 2020 at 12:30 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:
[1300] pass,fail [1084] score,reporting [1046] reporting,step [547] change,score [532] three,digit [526] step,three [525] change,pass [523] usmle,program [522] program,change [516] step,usmle Top Word Pairs in Tweet in G1:
[963] score,reporting [962] reporting,step [482] pass,fail [481] change,pass [481] fail,score [481] step,usmle [481] usmle,program [481] program,change [481] change,score [481] step,three Top Word Pairs in Tweet in G2:
[130] pass,fail [37] #meded,#medtwitter [35] #meded,#healthcare [33] step,pass [30] usmle,step [30] #meded,#foamed [25] #step1,pass [24] score,reporting [22] #medtwitter,#meded [20] step,ck Top Word Pairs in Tweet in G3:
[352] pass,fail [324] fail,huge [267] huge,news [266] step,goes [266] goes,pass [266] news,glad [266] glad,see [266] see,usmle [266] usmle,getting [266] getting,board Top Word Pairs in Tweet in G4:
[32] culture,culture [21] london,trainees [18] access,education [18] education,scholarship [18] scholarship,2030 [18] 2030,strategies [18] strategies,medical [18] medical,educators [18] educators,use [18] use,document Top Word Pairs in Tweet in G5:
[55] pass,fail [22] #meded,#medtwitter [16] #medtwitter,#meded [14] usmle,step [12] #usmle,#step1 [11] score,reporting [10] medical,education [9] #usmle,#meded [9] #meded,#foamed [8] step,pass Top Word Pairs in Tweet in G6:
[31] pass,fail [16] #meded,#medtwitter [11] join,#mededchat [11] score,reporting [10] #meded,#facdev [10] resident,fellow [9] #mededchat,tonight [9] usmle,step [9] #acgme,proud [9] proud,partner Top Word Pairs in Tweet in G7:
[101] #meded,#foamed [78] secondary,spontaneous [78] spontaneous,bacterial [78] bacterial,peritonitis [78] peritonitis,sbp [78] sbp,gas [78] gas,bubbles [78] bubbles,pneumoperitoneum [78] pneumoperitoneum,#pocus [78] #pocus,rjonessonoem Top Word Pairs in Tweet in G8:
[97] turns,actually [97] actually,intermittent [97] intermittent,fasting [97] fasting,years [97] years,didn [97] didn,realize [97] realize,time [97] time,back [97] back,called [97] called,lt Top Word Pairs in Tweet in G9:
[10] pass,fail [9] usmle,step [9] role,cta [9] cta,pre [9] pre,procedure [9] procedure,planning [9] planning,#pae [9] #pae,rare [9] rare,origin [9] origin,left Top Word Pairs in Tweet in G10:
[70] pass,fail [59] usmle,step [57] biggest,#meded [57] #meded,news [56] step,becoming [56] becoming,pass [56] fail,biggest [56] news,long [56] long,time [56] time,#medtwitter 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: