The graph represents a network of 5,657 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, 05 April 2021 at 05:30 UTC.
The requested start date was Monday, 05 April 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, 23-hour, 28-minute period from Wednesday, 31 March 2021 at 12:46 UTC to Sunday, 04 April 2021 at 12:15 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 : 5657
Unique Edges : 4540
Edges With Duplicates : 13837
Total Edges : 18377
Number of Edge Types : 5
Retweet : 5416
MentionsInRetweet : 7839
Tweet : 1546
Mentions : 3214
Replies to : 362
Self-Loops : 1634
Reciprocated Vertex Pair Ratio : 0.0388733705772812
Reciprocated Edge Ratio : 0.074837553215326
Connected Components : 336
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 4537
Maximum Edges in a Connected Component : 16564
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.638452
Graph Density : 0.000278972441298273
Modularity : 0.430795
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 5,657 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, 05 April 2021 at 05:30 UTC.
The requested start date was Monday, 05 April 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, 23-hour, 28-minute period from Wednesday, 31 March 2021 at 12:46 UTC to Sunday, 04 April 2021 at 12:15 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:
[579] #medtwitter,#meded [515] more,medical [511] medical,news [409] #meded,#foamed [292] hour,call [290] today,learned [290] learned,24 [290] 24,hour [290] call,schedule [290] schedule,pushed Top Word Pairs in Tweet in G1:
[514] more,medical [511] medical,news [411] #medtwitter,#meded [160] #meded,#medtwitter [135] covid,19 [112] news,#epidemiology [98] #epidemiology,#medtwitter [87] #meded,#foamed [83] news,#oncology [81] #oncology,#medtwitter Top Word Pairs in Tweet in G2:
[164] #meded,#foamed [110] #foamed,#medtwitter [110] #medtwitter,#medstudenttwitter [95] hyperkalemia,causes [95] causes,#meded [94] manualomedicine,hyperkalemia [54] pain,proportion [51] manualomedicine,#meded [38] #foamed,#medtwi [31] #usmle,#meded Top Word Pairs in Tweet in G3:
[285] today,learned [285] learned,24 [285] 24,hour [285] hour,call [285] call,schedule [285] schedule,pushed [285] pushed,surgeon [285] surgeon,regularly [285] regularly,used [285] used,cocaine Top Word Pairs in Tweet in G4:
[114] #vaccinating,gt [114] gt,000 [114] 000,000 [114] 000,people [114] people,day [114] day,25m [114] 25m,week [114] week,#covid19 [114] #covid19,virus [114] virus,fewer Top Word Pairs in Tweet in G5:
[15] #meded,#medtwitter [12] putting,steps [12] steps,practice [12] practice,practical [12] practical,advice [12] advice,publishing [12] publishing,medical [12] medical,education [12] education,#scholarship [12] #scholarship,acadmedjournal Top Word Pairs in Tweet in G6:
[33] common,see [33] see,anca [33] anca,vasculitis [33] vasculitis,#nephrology [33] #nephrology,practice [33] practice,such [33] such,important [33] important,suspect [33] suspect,recognize [33] recognize,diffuse Top Word Pairs in Tweet in G7:
[118] #medtech,#meded [115] #mhealth,#medtech [113] #meded,#pharma [112] #ai,#biotech [110] #pharma,#ai [91] clinical,trial [82] #clinicaltrials,#teckrotheanswer [72] #protocol,#mhealth [60] #trials,#protocol [58] #teckrotheanswer,#clinicaltrial Top Word Pairs in Tweet in G8:
[57] tactics,effective [57] effective,bystander [57] bystander,5ds [57] 5ds,help [57] help,prevent [57] prevent,attacks [57] attacks,harrassment [57] harrassment,distract [57] distract,delegate [57] delegate,document Top Word Pairs in Tweet in G9:
[20] #mcwneuroradbtw,028 [19] drs,aaroh [19] aaroh,parikh [19] parikh,christopher [19] christopher,thomas [18] 028,ans [18] ans,ant [18] ant,spinal [18] spinal,thanks [18] thanks,mcwradresidency Top Word Pairs in Tweet in G10:
[52] cecal,sigmoid [52] sigmoid,volvulus [52] volvulus,differences [52] differences,axr [52] axr,#meded [51] drkeithsiau,cecal [26] medical,student [19] sorry,sir [18] cat,meow [18] meow,meow Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: