The graph represents a network of 5,540 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, 29 August 2022 at 05:34 UTC.
The requested start date was Monday, 29 August 2022 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, 10-hour, 12-minute period from Thursday, 25 August 2022 at 00:59 UTC to Sunday, 28 August 2022 at 11:11 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 : 5540
Unique Edges : 3229
Edges With Duplicates : 14915
Total Edges : 18144
Number of Edge Types : 5
Retweet : 6857
MentionsInRetweet : 9177
Mentions : 1328
Replies to : 177
Tweet : 605
Self-Loops : 662
Reciprocated Vertex Pair Ratio : 0.0152326550041652
Reciprocated Edge Ratio : 0.0300082053686555
Connected Components : 235
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 4685
Maximum Edges in a Connected Component : 16550
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.657673
Graph Density : 0.000278008972152176
Modularity : 0.383251
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,540 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, 29 August 2022 at 05:34 UTC.
The requested start date was Monday, 29 August 2022 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, 10-hour, 12-minute period from Thursday, 25 August 2022 at 00:59 UTC to Sunday, 28 August 2022 at 11:11 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:
[3434] #meded,#medtwitter [1285] #bjhm,#meded [1234] #medtwitter,#foamed [999] #foamed,#meded [673] skin,lesions [668] #meded,#foamed [618] different,types [613] #medtwitter,#innomed [600] innov_medicine,different [598] types,skin Top Word Pairs in Tweet in G1:
[1436] #meded,#medtwitter [505] #medtwitter,#innomed [496] different,types [491] skin,lesions [491] innov_medicine,different [485] types,skin [483] lesions,#skin [483] #skin,#meded [262] aortic,regurgitation [262] regurgitation,auscultation Top Word Pairs in Tweet in G2:
[1471] #meded,#medtwitter [1136] #bjhm,#meded [523] #medtwitter,#foamed [498] #meded,#foamed [265] medinaz,academy [258] academy,#bjhm [244] #foamed,#medtwitter [207] #tipsfornewdocs,#meded [200] #medicare,#health [189] #foamed,#meded Top Word Pairs in Tweet in G3:
[499] #medtwitter,#foamed [478] #foamed,#meded [464] #meded,#usmle [435] digestion,absorption [435] absorption,nutrients [410] nutrients,#medtwitter [409] manualomedicine,digestion [113] #meded,#medtwitter [63] differential,diagnosis [61] abdominal,pain Top Word Pairs in Tweet in G4:
[93] #meded,#medtwitter [64] #medtwitter,#meded [28] #tipsfornewdocs,#meded [27] #internalmedicine,#tipsfornewdocs [24] #medtwitter,#medicine [23] #meded,#foamed [21] #medicine,#medical [19] #medical,#lifting [19] #lifting,#sling [19] #sling,market Top Word Pairs in Tweet in G5:
[163] #foamed,#meded [142] jaundice,kayser [142] kayser,fleischer [142] fleischer,rings [142] rings,wilson's [142] wilson's,disease [142] disease,#foamed [142] #meded,#physicalexam [141] grepmeded,jaundice [17] #meded,#medtwitter Top Word Pairs in Tweet in G6:
[174] #meded,#medtwitter [123] respiratory,conditions [123] conditions,chronic [123] chronic,bronchitis [123] bronchitis,cause [123] cause,heart [123] heart,failure [123] failure,mins [123] mins,#meded [122] drmiketodorovic,respiratory Top Word Pairs in Tweet in G7:
[39] nephrop,#echofirst [39] right,heart [37] #echofirst,views [37] views,used [37] used,perform [37] perform,comprehensive [37] comprehensive,evaluation [37] evaluation,right [37] heart,each [37] each,view Top Word Pairs in Tweet in G8:
[11] #meded,#medtwitter [7] eras,application [6] hi,#medtwitter [6] ps,cv [5] #foamed,#meded [5] #match2023,applicants [5] applicants,tips [5] tips,eras [5] application,ps [4] 22,23 Top Word Pairs in Tweet in G9:
[91] #medtwitter,#meded [44] acid,base [44] base,mnemonic [44] mnemonic,#medtwitter [43] khaledalotibe1,acid [25] fractuer,classification [25] classification,credit [25] credit,cecestudyguides [25] cecestudyguides,#medtwitter [25] #meded,#usmle Top Word Pairs in Tweet in G10:
[9] episode,48 [9] #onthisday,india_nhrc [9] india_nhrc,came [9] came,down [9] down,heavily [9] heavily,nmc_ind [9] nmc_ind,ignoring [9] ignoring,rights [9] rights,persons [9] persons,disabilities Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: