The graph represents a network of 5,725 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, 17 October 2022 at 05:35 UTC.
The requested start date was Monday, 17 October 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 2-day, 5-hour, 24-minute period from Thursday, 13 October 2022 at 05:45 UTC to Saturday, 15 October 2022 at 11:09 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 : 5725
Unique Edges : 3983
Edges With Duplicates : 14795
Total Edges : 18778
Number of Edge Types : 5
Retweet : 6822
MentionsInRetweet : 9685
Tweet : 777
Mentions : 1406
Replies to : 88
Self-Loops : 797
Reciprocated Vertex Pair Ratio : 0.0115884989614081
Reciprocated Edge Ratio : 0.0229114881660002
Connected Components : 227
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 4828
Maximum Edges in a Connected Component : 17185
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.626735
Graph Density : 0.000282362778037162
Modularity : 0.380877
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 5,725 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, 17 October 2022 at 05:35 UTC.
The requested start date was Monday, 17 October 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 2-day, 5-hour, 24-minute period from Thursday, 13 October 2022 at 05:45 UTC to Saturday, 15 October 2022 at 11:09 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:
[3409] #meded,#medtwitter [1621] #medtwitter,#foamed [1037] #medtwitter,#meded [881] #tipsfornewdocs,#meded [767] #medtwitter,#medicine [694] #medicine,#medical [672] #medical,#medicare [666] #medicare,#health [540] #health,#healthcare [502] synapses,work Top Word Pairs in Tweet in G1:
[1075] #meded,#medtwitter [914] #medtwitter,#foamed [324] hemorrhagic,tamponade [324] tamponade,autopsy [324] autopsy,em_resus [191] em_resus,#meded [190] brownhospmed,hemorrhagic [139] #meded,#foamed [134] brownhospmed,#meded [133] innov_medicine,hemorrhagic Top Word Pairs in Tweet in G2:
[581] #medtwitter,#meded [551] #meded,#medtwitter [426] neuronal,synapses [426] helix,animations [426] work,helix [426] synapses,work [423] best,demonstration [423] animations,#medtwitter [423] demonstration,neuronal [422] innov_medicine,best Top Word Pairs in Tweet in G3:
[1362] #meded,#medtwitter [743] #tipsfornewdocs,#meded [690] #medtwitter,#medicine [624] #medicine,#medical [604] #medical,#medicare [598] #medicare,#health [487] #health,#healthcare [416] #healthcare,#foamed [381] #medtwitter,#foamed [169] #foamed,#clinicalpearl Top Word Pairs in Tweet in G4:
[174] #medtwitter,#meded [129] #medpub,#medtwitter [119] #meded,#mednews [95] #meded,#medtwitter [34] nephrop,#echofirst [34] #pocus,#meded [33] #meded,#nephrology [32] features,measurements [32] measurements,right [32] ventricle,#pocus Top Word Pairs in Tweet in G5:
[176] learn,more [82] #meded,#emednews [37] precision,medicine [25] emedevents,join [21] free,webcast [21] disparities',sponsored [21] join,free [21] sponsored,#philips [21] address,health [21] #philips,register Top Word Pairs in Tweet in G6:
[200] #meded,#medtwitter [182] #medtwitter,#foamed [124] work,#meded [122] laxatives,work [122] boss,classes [122] classes,#gitwitter [122] #gitwitter,bulk [122] #foamed,remember [122] remember,boss [122] bulk,forming Top Word Pairs in Tweet in G7:
[24] #foamrad,#foamed [20] #foamed,#meded [19] interesting,cases [19] crazy,cases [19] video,one [19] definitely,latter [19] latter,video [19] cases,one [19] one,definitely [19] cases,crazy Top Word Pairs in Tweet in G8:
[42] #meded,#medtwitter [18] rapid,guideline [18] surgical,management [18] eaes,rapid [18] systematic,review [18] review,network [18] update,systematic [18] analysis,cinema [18] gerd,ueg [18] meta,analysis Top Word Pairs in Tweet in G9:
[10] #meded,#foamed [9] #covid19,#meded [9] #foamed,#documentary_film [7] premiere,#covid19 [7] medical,education [7] #documentary_film,interviewing [7] official,premiere [7] interviewing,global [7] global,expert [6] drzoltangyorgyi,official Top Word Pairs in Tweet in G10:
[46] residency,fellowship [46] school,residency [44] hardest,skills [44] one,hardest [44] patients,attending [44] think,one [44] skills,med [44] fellowship,presenting [44] presenting,patients [44] med,school Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
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: