The graph represents a network of 9,514 Twitter users whose recent tweets contained "#foamed", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 28 October 2019 at 20:56 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 35-minute period from Saturday, 19 October 2019 at 18:50 UTC to Monday, 28 October 2019 at 20:26 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 : 9514
Unique Edges : 20644
Edges With Duplicates : 8226
Total Edges : 28870
Self-Loops : 1505
Reciprocated Vertex Pair Ratio : 0.0196449158404427
Reciprocated Edge Ratio : 0.0385328569490299
Connected Components : 180
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 9059
Maximum Edges in a Connected Component : 28124
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.388873
Graph Density : 0.000244302404103158
Modularity : 0.539807
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,514 Twitter users whose recent tweets contained "#foamed", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 28 October 2019 at 20:56 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 35-minute period from Saturday, 19 October 2019 at 18:50 UTC to Monday, 28 October 2019 at 20:26 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 : TwitterSearch
Graph Term : #foamed
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8854] re,doing [4448] julesantoser,#foamed [4439] video,showing [4437] video,courtesy [4431] great,video [4430] watch,great [4429] modified,valsalva [4428] showing,modified [4428] valsalva,maneuver [4428] maneuver,converting Top Word Pairs in Tweet in G1:
[8418] re,doing [4220] video,showing [4219] video,courtesy [4210] modified,valsalva [4210] julesantoser,#foamed [4209] watch,great [4209] great,video [4209] showing,modified [4209] valsalva,maneuver [4209] maneuver,converting Top Word Pairs in Tweet in G2:
[1565] #foamed,#foamcc [573] hughgifford,curromir [517] foamecmo,hughgifford [508] #ifad2019,#foamed [504] avkwong,foamecmo [429] #foamcc,#foamed [395] #foamed,#meded [395] #acep19,#foamed [282] stay,tuned [259] tuned,preparing Top Word Pairs in Tweet in G3:
[189] #meded,#foamed [178] #cardiotwitter,#foamed [163] #foamed,#meded [102] #meded,#medtwitter [95] #medtwitter,#foamed [93] check,out [78] ml,min [73] #cardiotwitter,#cardiology [72] #accfit,#foamed [72] re,doing Top Word Pairs in Tweet in G4:
[390] #foamrad,#foamed [224] answer,#foamrad [82] #foamed,#foamrad [77] #foamed,#radiology [47] #meded,#foamed [45] #neurorad,#foamrad [45] spoilers,give [45] give,hints [41] dick's,pick [41] pick,week Top Word Pairs in Tweet in G5:
[75] 1,short [75] short,#tweetorial [75] #tweetorial,introducing [75] introducing,human [75] human,leukocyte [75] leukocyte,antigen [75] antigen,hla [75] hla,typing [75] typing,important [75] important,confusing Top Word Pairs in Tweet in G6:
[349] #meded,#foamed [205] #foamed,#usmle [180] #usmle,#medtwitter [76] pulmonary,embolism [76] embolism,#meded [75] #foamed,#foaned [74] complications,pulmonary [74] #foaned,#foamem [49] duration,treatment [49] treatment,venous Top Word Pairs in Tweet in G7:
[59] here,s [59] s,great [59] great,#ecg [59] #ecg,showing [59] showing,classic [59] classic,findings [59] findings,associated [59] associated,#hypothermia [59] #hypothermia,1 [59] 1,bradycardia Top Word Pairs in Tweet in G8:
[58] those,missed [58] missed,here [58] here,slides [58] slides,#anes19 [58] #anes19,debate [58] debate,jeffgadsden [58] jeffgadsden,thoracic [58] thoracic,#epidural [58] #epidural,gold [58] gold,standard Top Word Pairs in Tweet in G9:
[35] reactive,nodular [35] nodular,fibrous [35] fibrous,pseudotumor [35] pseudotumor,colon [35] colon,#gipath [35] #gipath,#pathboards [35] #pathboards,#foamed [34] designed,primary [34] primary,care [34] non,haematology Top Word Pairs in Tweet in G10:
[14] #foamed,#meded [11] #meded,#foamed [10] watch,rest [10] rest,here [10] here,#foamed [10] #meded,#medical [10] #medical,education [6] education,#cardiology [5] critical,care [5] #foamed,#foamrad Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: