The graph represents a network of 1,476 Twitter users whose recent tweets contained "#SoMe4Surgery", 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 Tuesday, 10 March 2020 at 07:45 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 35-minute period from Saturday, 29 February 2020 at 20:50 UTC to Tuesday, 10 March 2020 at 07:25 UTC.
It updates last week's map: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=222453. I have deleted the "top tweeters in the entire graph" section at the end of the report as this producing spurious data.
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 : 4588
Unique Edges : 21500
Edges With Duplicates : 65687
Total Edges : 87187
Self-Loops : 1475
Reciprocated Vertex Pair Ratio : 0.0529635091462458
Reciprocated Edge Ratio : 0.100598945141393
Connected Components : 31
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 4522
Maximum Edges in a Connected Component : 87108
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.154114
Graph Density : 0.00159461873316596
Modularity : 0.238066
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 1,476 Twitter users whose recent tweets contained "#SoMe4Surgery", 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 Tuesday, 10 March 2020 at 07:45 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 35-minute period from Saturday, 29 February 2020 at 20:50 UTC to Tuesday, 10 March 2020 at 07:25 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 : #SoMe4Surgery
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:
[3257] #some4surgery,#some4iqlatam [2485] juliomayol,swexner [829] pferrada1,kmattox1 [771] #some4iqlatam,juliomayol [754] pferrada1,juliomayol [728] #some4iqlatam,#some4surgery [723] swexner,misirg1 [663] #some4trauma,#some4surgery [631] salo75,jbmatthews [526] #some4surgery,pferrada1 Top Word Pairs in Tweet in G1:
[2758] #some4surgery,#some4iqlatam [2306] juliomayol,swexner [792] pferrada1,kmattox1 [710] #some4iqlatam,juliomayol [705] pferrada1,juliomayol [689] swexner,misirg1 [616] salo75,jbmatthews [500] #some4surgery,pferrada1 [493] #some4iqlatam,#medtwitter [490] #some4iqlatam,#some4surgery Top Word Pairs in Tweet in G2:
[368] #colorectalsurgery,#some4surgery [263] #colorectalresearch,#some4surgery [243] #some4surgery,#some4iqlatam [220] #colorectalsurgery,#colorectalresearch [172] https,t [172] t,co [151] #some4surgery,#colorectalsurgery [150] #some4,#some4pedsurg [149] #ehealth,#pediatricsurgery [142] #some4surgery,escp_tweets Top Word Pairs in Tweet in G3:
[354] #some4trauma,#some4surgery [247] #some4surgery,#some4hernia [134] #herniasurgery,#some4surgery [117] #herniafriends,#some4surgery [104] #herniasurgery,#herniafriends [90] #some4surgery,#some4trauma [82] amazing,live [82] live,event [75] #mattoxmonday,#some4trauma [72] over,world Top Word Pairs in Tweet in G4:
[75] #some4surgery,#visualabstract [33] #some4pedsurg,#some4surgery [31] mass,violence [31] john_fildes,dakuhls [31] dakuhls,pmhtrauma_ale [31] pmhtrauma_ale,#triage [31] #triage,#trauma [31] #trauma,#massviolence [31] #massviolence,#some4surgery [30] shikhajainmd,smkaty Top Word Pairs in Tweet in G5:
[113] #some4iqlatam,#some4surgery [58] #some4surgery,#some4iqlatam [39] work,#some4surgery [38] one,surgeons [38] surgeons,boasted [38] boasted,zero [38] zero,complication [38] complication,rate [38] rate,entire [38] entire,career Top Word Pairs in Tweet in G6:
[83] #some4surgery,#some4iqlatam [68] #some4iqlatam,#me4education [45] #soyamcg,#some4surgery [22] #some4iqlatam,#some4surgery [21] #me4education,#patientsafety [20] #patientsafety,#soyamcg [17] #mir2020abierto,#some4surgery [13] jànos,veres [13] veres,1903 [13] 1903,1979 Top Word Pairs in Tweet in G7:
[24] cutting,edge [16] social,media [15] major,step [15] step,#urosomeindia [15] #urosomeindia,first [15] first,time [15] time,major [15] major,urological [15] urological,event [15] event,asia Top Word Pairs in Tweet in G8:
[3] versablar_uoc,mlalanda [3] mlalanda,vilavaite [3] vilavaite,jennybencardino [3] jennybencardino,charmsfitdoc [3] charmsfitdoc,drcorriel [3] drcorriel,tisharowemd [3] tisharowemd,choo_ek [3] choo_ek,darakass [3] darakass,aletha_oglesby [3] aletha_oglesby,doc_prevention Top Word Pairs in Tweet in G9:
[25] #some4surgery,hpb_so [19] #some4surgery,#some4hpb [15] evidence,map [15] #surgery,#some4surgery [12] last,#rct [12] #rct,pancreaticojejunostomy [12] pancreaticojejunostomy,vs [12] vs,pancreaticogastrostomy [12] pancreaticogastrostomy,patients [12] patients,high Top Word Pairs in Tweet in G10:
[20] #medtwitter,#some4surgery [13] march,2nd [8] want,come [8] come,learn [8] learn,clecliniclondon [8] clecliniclondon,offering [8] offering,clinical [8] clinical,fellows [8] fellows,opportunity [8] opportunity,travel 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: