The graph represents a network of 5,417 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, 27 December 2021 at 06:45 UTC.
The requested start date was Monday, 27 December 2021 at 01:01 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 4-day, 10-hour, 18-minute period from Wednesday, 22 December 2021 at 00:50 UTC to Sunday, 26 December 2021 at 11:08 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 : 5417
Unique Edges : 3814
Edges With Duplicates : 14166
Total Edges : 17980
Number of Edge Types : 5
Retweet : 5106
MentionsInRetweet : 7329
Tweet : 1521
Mentions : 3325
Replies to : 699
Self-Loops : 1597
Reciprocated Vertex Pair Ratio : 0.0343828217626136
Reciprocated Edge Ratio : 0.0664798777381559
Connected Components : 279
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 4646
Maximum Edges in a Connected Component : 15758
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.009584
Graph Density : 0.000267634933407575
Modularity : 0.398079
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,417 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, 27 December 2021 at 06:45 UTC.
The requested start date was Monday, 27 December 2021 at 01:01 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 4-day, 10-hour, 18-minute period from Wednesday, 22 December 2021 at 00:50 UTC to Sunday, 26 December 2021 at 11:08 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:
[827] #medtwitter,#meded [640] more,medical [626] medical,news [450] #meded,#mednews [445] more,date [437] date,medical [407] medical,headlines [382] headlines,visit [349] #meded,#medtwitter [344] hey,hak Top Word Pairs in Tweet in G1:
[344] hey,hak [324] illa,huuu [283] meded,hey [283] hak,huuu [229] huuu,yarabbi [224] yarabbi,zalimlerin [224] zalimlerin,üzerine [224] üzerine,kahhar [223] kahhar,isminle [223] isminle,tecelli Top Word Pairs in Tweet in G2:
[243] commonly,used [243] used,tumour [243] tumour,markers [243] markers,#meded [242] drkeithsiau,commonly [86] drkeithsiau,management [81] #gitwitter,#meded [55] management,gastroparesis [55] gastroparesis,#gitwitter [55] infographic,#meded Top Word Pairs in Tweet in G3:
[523] more,medical [512] medical,news [501] #medtwitter,#meded [412] #meded,#mednews [399] more,date [394] date,medical [367] medical,headlines [344] headlines,visit [198] visit,#medicalnews [190] #medicalnews,#medtwitter Top Word Pairs in Tweet in G4:
[122] #meded,#raded [111] call,normal [111] normal,vs [111] vs,volume [111] volume,loss [111] loss,vs [111] vs,normal [111] normal,pressure [111] pressure,hydrocephalus [111] hydrocephalus,vs Top Word Pairs in Tweet in G5:
[63] more,medical [61] medical,news [47] #meded,#medtwitter [46] more,date [45] #medtwitter,#meded [43] date,medical [40] medical,headlines [38] headlines,visit [26] covid,19 [17] #foamed,#meded Top Word Pairs in Tweet in G6:
[31] timing,very [31] very,odd [31] odd,year [31] year,used [31] used,personal [31] personal,'special [31] 'special,needs [31] needs,mum' [31] mum',experience [31] experience,work Top Word Pairs in Tweet in G7:
[89] #echofirst,#meded [57] #meded,#impocus [53] rv,function [53] function,flashcards [53] flashcards,pertinent [53] pertinent,#pocus [53] #pocus,tapse [53] tapse,s' [53] s',mpi [53] mpi,#echofirst Top Word Pairs in Tweet in G8:
[54] more,medical [53] medical,news [47] year,old [42] old,man [41] 60,year [41] man,refractory [41] refractory,angina [41] angina,positive [41] positive,stress [41] stress,test Top Word Pairs in Tweet in G9:
[100] #meded,#foamed [76] myocardial,infarction [74] #medtwitter,#meded [73] #foamed,#medicine [71] complications,myocardial [71] infarction,#medtwitter [70] manualomedicine,complications [65] read,more [63] headache,causes [63] causes,read Top Word Pairs in Tweet in G10:
[41] anyone,struggling [41] struggling,depression [41] depression,please [41] please,hold [41] hold,life [41] life,seem [41] seem,impossible [41] impossible,right [41] right,brighter [41] brighter,days Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: