The graph represents a network of 1,264 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, 09 February 2020 at 10:58 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 18-minute period from Saturday, 01 February 2020 at 05:09 UTC to Sunday, 09 February 2020 at 10:27 UTC.
Adds to map shared previously: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220505
See "Overall Graph Metrics" section to see total number of Twitter accounts shown on this map - 2362 "vertices".
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 : 2362
Unique Edges : 10399
Edges With Duplicates : 22016
Total Edges : 32415
Self-Loops : 622
Reciprocated Vertex Pair Ratio : 0.0537016574585635
Reciprocated Edge Ratio : 0.101929530201342
Connected Components : 39
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 2263
Maximum Edges in a Connected Component : 32281
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.165633
Graph Density : 0.00256496604970482
Modularity : 0.270995
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,264 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, 09 February 2020 at 10:58 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 18-minute period from Saturday, 01 February 2020 at 05:09 UTC to Sunday, 09 February 2020 at 10:27 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:
[1574] #some4surgery,#some4iqlatam [1120] juliomayol,swexner [671] pferrada1,kmattox1 [624] salo75,jbmatthews [509] #some4iqlatam,#medtwitter [458] swexner,salo75 [435] #some4iqlatam,juliomayol [432] #medtwitter,juliomayol [388] misirg1,pferrada1 [386] gastrocirs,misirg1 Top Word Pairs in Tweet in G1:
[1397] #some4surgery,#some4iqlatam [1083] juliomayol,swexner [663] pferrada1,kmattox1 [619] salo75,jbmatthews [490] #some4iqlatam,#medtwitter [445] swexner,salo75 [425] #some4iqlatam,juliomayol [423] #medtwitter,juliomayol [385] misirg1,pferrada1 [383] gastrocirs,misirg1 Top Word Pairs in Tweet in G2:
[249] #some4trauma,#some4surgery [94] #some4obgyn,#some4surgery [93] #colorectalsurgery,#some4surgery [92] #some4surgery,#some4iqlatam [92] #mattoxmonday,#some4trauma [92] #colorectalsurgery,#colorectalresearch [90] #colorectalresearch,#some4surgery [80] eq,5d [77] #some4surgery,escp_tweets [75] top,knife Top Word Pairs in Tweet in G3:
[157] #some4surgery,#some4hernia [72] #herniafriends,#some4surgery [66] #herniasurgery,#some4surgery [57] #herniasurgery,#herniafriends [27] #some4surgery,#some4iqlatam [26] #cirugía,#paredabdominal [25] bariatricsso,aecirujanos [23] bariatrica,aecirujanos [23] cirugía,pared [23] pared,abdominal Top Word Pairs in Tweet in G4:
[40] rectal,cancer [27] broadcast,1 [24] free,view [24] view,broadcast [22] #surgery,#some4surgery [22] 1,patient [22] patient,factors [22] factors,affect [22] affect,rectal [22] cancer,management Top Word Pairs in Tweet in G5:
[27] #urology,#some4surgery [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 Top Word Pairs in Tweet in G6:
[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 G7:
[13] 7pm,cst [13] #surged,#some4surgery [12] #colorectalsurgery,#colorectalresearch [11] social,media [11] now,10 [11] 10,000 [11] 000,followers [11] followers,celebration [11] celebration,new [11] new,look Top Word Pairs in Tweet in G8:
[17] mass,violence [17] john_fildes,dakuhls [17] dakuhls,pmhtrauma_ale [17] pmhtrauma_ale,#triage [17] #triage,#trauma [17] #trauma,#massviolence [17] #massviolence,#some4surgery [16] violence,incidents [16] incidents,present [16] present,trauma Top Word Pairs in Tweet in G9:
[10] #some4surgery,#some4pedsurg [9] #asc2020,#some4surgery [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 G10:
[5] read,paper [4] #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 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 G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: