The graph represents a network of 4,031 Twitter users whose recent tweets contained "meded", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:37 UTC.
The tweets in the network were tweeted over the 2611-day, 17-hour, 15-minute period from Sunday, 13 December 2015 at 07:44 UTC to Monday, 06 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4031
Unique Edges : 1925
Edges With Duplicates : 10178
Total Edges : 12103
Number of Edge Types : 9
Retweet : 4473
MentionsInRetweet : 5693
MentionsInQuote : 116
Tweet : 521
Replies to : 197
Mentions : 530
MentionsInReplyTo : 527
Quote : 45
MentionsInQuoteReply : 1
Self-Loops : 685
Reciprocated Vertex Pair Ratio : 0.0190631808278867
Reciprocated Edge Ratio : 0.0374131480491716
Connected Components : 269
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 3013
Maximum Edges in a Connected Component : 9818
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.67256
Graph Density : 0.000345523187849994
Modularity : 0.393968
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,031 Twitter users whose recent tweets contained "meded", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:37 UTC.
The tweets in the network were tweeted over the 2611-day, 17-hour, 15-minute period from Sunday, 13 December 2015 at 07:44 UTC to Monday, 06 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1366] #meded,#medtwitter [708] #tipsfornewdocs,#meded [667] #medtwitter,#medicine [615] #medicine,#medical [598] #medical,#medicare [560] #medicare,#health [545] #health,#healthcare [498] #healthcare,#foamed [435] #meded,#foamed [419] #medtwitter,#meded Top Word Pairs in Tweet in G1:
[298] #meded,#medtwitter [265] immune,cells [265] cells,functions [265] functions,#meded [264] innov_medicine,immune [225] icg,fluorescence [225] nodes,surgmedia [225] detection,sentinel [225] technique,detection [225] lymph,nodes Top Word Pairs in Tweet in G2:
[320] #meded,#foamed [316] source,unknown [316] findings,source [316] nail,findings [316] unknown,#meded [315] brownhospmed,nail [89] common,skin [89] skin,lesions [89] lesions,#meded [88] brownhospmed,common Top Word Pairs in Tweet in G3:
[619] #meded,#medtwitter [543] #tipsfornewdocs,#meded [508] #medtwitter,#medicine [467] #medicine,#medical [454] #medical,#medicare [422] #medicare,#health [406] #health,#healthcare [384] #healthcare,#foamed [175] diagnosis,#tipsfornewdocs [159] #foamed,#clinica Top Word Pairs in Tweet in G4:
[160] #medtwitter,#meded [155] #meded,#medtwitter [85] #cardiology,#cardiotwitter [73] diagnosis,management [73] inpatient,#meded [73] hyponatremia,siadh [73] siadh,diagnosis [73] management,inpatient [72] apothera,hyponatremia [71] #medtwitter,#e Top Word Pairs in Tweet in G5:
[89] #meded,#medtwitter [82] #foamcc,#foamed [65] #tipsfornewdocs,#meded [63] #medtwitter,#medicine [60] #medicine,#medical [58] #medical,#medicare [56] #medicare,#health [54] #health,#healthcare [39] potential,#foamcc [39] #diuresisjedi,#meded Top Word Pairs in Tweet in G6:
[111] sciencemagazine,#scicomm [111] #scicomm,#news [106] before,form [106] preventing,#vaccines [106] generation,#cancer [106] #news,# [106] wipe,tumors [106] form,sciencemagazine [106] #vaccines,wipe [106] tumors,before Top Word Pairs in Tweet in G7:
[80] #medtwitter,#foamed [70] #foamed,#meded [60] #meded,#usmle [59] causes,acidosis [59] acidosis,#medtwitter [58] manualomedicine,causes [21] #meded,#medtwitter [7] 55,year [7] interpretation,answer [7] year,old Top Word Pairs in Tweet in G8:
[13] gastrostomy,tubes [13] latent,tb [13] rig,pig [13] types,percutaneous [13] peg,rig [13] tubes,peg [13] percutaneous,gastrostomy [13] pig,#meded [13] #meded,jama_current [13] management,latent Top Word Pairs in Tweet in G9:
[27] #meded,#medtwitter [12] #medtwitter,#meded [12] #foamed,#meded [8] #meded,#foamed [6] #medpub,#ophthaltwitter [6] #meded,#ophthalmology [6] #ophthaltwitter,#meded [6] #medtwitter,#medstudenttwitter [5] boone,ia [5] #medpub,#epidtwitter Top Word Pairs in Tweet in G10:
[38] fruit,saccular [38] think,different [38] types,fruit [38] way,remember [38] easy,way [38] saccular,focal [38] different,types [38] types,think [38] remember,aneurysm [38] hungry,easy Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: