The graph represents a network of 6,749 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 August 2020 at 05:19 UTC.
The requested start date was Monday, 10 August 2020 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 5-day, 0-hour, 23-minute period from Tuesday, 04 August 2020 at 21:42 UTC to Sunday, 09 August 2020 at 22:06 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 : 6749
Unique Edges : 6035
Edges With Duplicates : 13831
Total Edges : 19866
Number of Edge Types : 5
Retweet : 5529
MentionsInRetweet : 8768
Tweet : 1311
Mentions : 3990
Replies to : 268
Self-Loops : 1389
Reciprocated Vertex Pair Ratio : 0.0424000777983079
Reciprocated Edge Ratio : 0.0813508722828622
Connected Components : 443
Single-Vertex Connected Components : 172
Maximum Vertices in a Connected Component : 5376
Maximum Edges in a Connected Component : 17087
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.061936
Graph Density : 0.000235363855085603
Modularity : 0.482922
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,749 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 August 2020 at 05:19 UTC.
The requested start date was Monday, 10 August 2020 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 5-day, 0-hour, 23-minute period from Tuesday, 04 August 2020 at 21:42 UTC to Sunday, 09 August 2020 at 22:06 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:
[359] #meded,#foamed [330] #meded,#medtwitter [305] #medtwitter,#meded [272] hey,#medtwitter [266] medical,specialty [264] #medtwitter,written [264] written,ai [264] ai,bot [264] bot,look [264] look,profile Top Word Pairs in Tweet in G1:
[92] #meded,#medtwitter [74] #medtwitter,#meded [49] #foamed,#meded [45] #medstudenttwitter,#meded [34] #meded,#hpe [34] covid,19 [27] #meded,#foamed [26] kreutermd,harvardmacy [24] looking,forward [24] clinical,pearls Top Word Pairs in Tweet in G2:
[52] releasing,full [52] full,text [52] text,email [52] email,received [52] received,last [52] last,evening [52] evening,aamctoday [52] aamctoday,chief [52] chief,services [52] services,officer Top Word Pairs in Tweet in G3:
[57] pleural,effusion [55] left,pleural [53] 12,key [53] trials,teach [53] each,week [47] back,request [47] request,icu [47] icu,residents [47] residents,12 [47] key,trials Top Word Pairs in Tweet in G4:
[240] #meded,#foamed [89] #usmle,#medtwitter [89] #foamed,#medtwitter [82] suggested,management [82] management,abnormal [82] abnormal,lfts [82] lfts,liver [82] liver,function [82] function,tests [82] tests,asymptomatic Top Word Pairs in Tweet in G5:
[263] hey,#medtwitter [263] #medtwitter,written [263] written,ai [263] ai,bot [263] bot,look [263] look,profile [263] profile,guess [263] guess,medical [263] medical,specialty [263] specialty,really Top Word Pairs in Tweet in G6:
[133] #cardiotwitter,#cardioed [131] #cardioed,#meded [36] #meded,#cardioed [23] #medtwitter,#meded [22] covid,19 [19] #cardioed,osuwexmed [17] read,full [16] #hid2020,program [16] program,highlight [16] highlight,dr Top Word Pairs in Tweet in G7:
[41] asco,#asco20 [27] phenomenal,watch [27] watch,presentation [27] presentation,capsurvivorship [27] capsurvivorship,sequencing [27] sequencing,available [27] available,therapies [27] therapies,#mcspc [27] #mcspc,asco [27] very,special Top Word Pairs in Tweet in G8:
[23] #medtwitter,#meded [14] #meded,#medtwitter [10] read,more [8] daily,news [8] news,read [8] #hcmktg,#hcsm [8] #hcsm,#healthit [8] #healthit,#meded [8] #meded,#patient [8] #patient,#physicians Top Word Pairs in Tweet in G9:
[23] learn,more [20] dr,raman [20] raman,malhotra [16] series,#neurology [15] advanced,practice [15] article,evaluating [15] evaluating,#sleepy [15] #sleepy,#sleepless [15] #sleepless,patient [14] virtual,open Top Word Pairs in Tweet in G10:
[60] #pathology,#pathtwitter [56] benign,lipomatous [56] lipomatous,tumor [56] #pathtwitter,#bstpath [56] #bstpath,#meded [51] kkuanmd,benign [36] yokoda_md,gagandeepk5md [29] r1,resident [29] resident,included [29] included,œbarium 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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