The graph represents a network of 1,700 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 Sunday, 16 February 2020 at 09:45 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 58-minute period from Thursday, 06 February 2020 at 17:13 UTC to Sunday, 16 February 2020 at 09:11 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.
Adds to earlier map - https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220790. Combined this takes us back to 19 January, and includes 3,018 tweeters, retweeters and mentioned accounts.
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 : 3018
Unique Edges : 12761
Edges With Duplicates : 36671
Total Edges : 49432
Self-Loops : 903
Reciprocated Vertex Pair Ratio : 0.0535636679704476
Reciprocated Edge Ratio : 0.101680932247087
Connected Components : 38
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 2928
Maximum Edges in a Connected Component : 49310
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.124495
Graph Density : 0.00212996685668774
Modularity : 0.244371
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,700 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 Sunday, 16 February 2020 at 09:45 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 58-minute period from Thursday, 06 February 2020 at 17:13 UTC to Sunday, 16 February 2020 at 09:11 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 : 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:
[2102] #some4surgery,#some4iqlatam [1534] juliomayol,swexner [808] pferrada1,kmattox1 [649] #some4iqlatam,juliomayol [631] salo75,jbmatthews [532] #some4trauma,#some4surgery [524] #some4iqlatam,#some4surgery [520] #some4iqlatam,#medtwitter [470] swexner,salo75 [460] #medtwitter,juliomayol Top Word Pairs in Tweet in G1:
[1853] #some4surgery,#some4iqlatam [1450] juliomayol,swexner [784] pferrada1,kmattox1 [620] salo75,jbmatthews [616] #some4iqlatam,juliomayol [488] #some4iqlatam,#medtwitter [458] swexner,salo75 [438] #medtwitter,juliomayol [422] #some4iqlatam,#some4surgery [396] gastrocirs,misirg1 Top Word Pairs in Tweet in G2:
[347] #some4trauma,#some4surgery [183] #some4surgery,#some4iqlatam [183] #colorectalsurgery,#some4surgery [128] #colorectalsurgery,#colorectalresearch [127] #colorectalresearch,#some4surgery [120] eq,5d [113] #some4,#some4pedsurg [111] #ehealth,#pediatricsurgery [105] 5d,5l [105] editor,chief Top Word Pairs in Tweet in G3:
[176] #some4surgery,#some4hernia [79] #herniasurgery,#some4surgery [74] #herniafriends,#some4surgery [66] #herniasurgery,#herniafriends [29] #airseal,ifs [26] #cirugía,#paredabdominal [22] inteligente,#airseal [21] bariatricsso,aecirujanos [19] #bariatricsurgery,#some4surgery [19] https,t Top Word Pairs in Tweet in G4:
[44] rectal,cancer [34] broadcast,1 [29] #colorectalsurgery,#some4surgery [27] free,view [27] view,broadcast [25] factors,affect [25] affect,rectal [25] cancer,management [24] mass,violence [24] john_fildes,dakuhls Top Word Pairs in Tweet in G5:
[23] pancreatic,surgery [20] #surgery,#some4surgery [16] willingness,operate [16] operate,useful [16] useful,barometer [16] barometer,great [16] great,surgeon [16] surgeon,recognizing [16] recognizing,operate [16] operate,takes Top Word Pairs in Tweet in G6:
[38] #some4surgery,#some4iqlatam [26] #some4iqlatam,#me4education [25] #patientsafety,#soyamcg [24] #me4education,#patientsafety [20] continuing,#meded [20] #meded,theme [20] theme,month [20] month,s [20] s,#jpras [20] #jpras,incorporate Top Word Pairs in Tweet in G7:
[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 G8:
[16] #asc2020,#some4surgery [9] #some4surgery,#some4pedsurg [9] me4ped,me4trauma [8] presenting,work [7] recently,saw [7] saw,post [7] post,akronchildrens [7] akronchildrens,surgeon [7] surgeon,makes [7] makes,intricate Top Word Pairs in Tweet in G9:
[5] read,paper [5] #some4gynonc,#some4surgery [4] #ijgcclub,today [4] today,discussing [4] discussing,looking [4] looking,outcomes [4] outcomes,intermediate [4] intermediate,risk [4] risk,ec [4] ec,patients Top Word Pairs in Tweet in G10:
[17] social,media [16] major,step [16] step,#urosomeindia [16] #urosomeindia,first [16] first,time [16] time,major [16] major,urological [16] urological,event [16] event,asia [16] asia,exclusive 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 G7:
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:
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: