The graph represents a network of 1,633 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, 03 March 2020 at 08:57 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 18-minute period from Saturday, 22 February 2020 at 19:21 UTC to Tuesday, 03 March 2020 at 08:39 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 : 4189
Unique Edges : 19094
Edges With Duplicates : 54429
Total Edges : 73523
Self-Loops : 1301
Reciprocated Vertex Pair Ratio : 0.0528886155627103
Reciprocated Edge Ratio : 0.100463837828552
Connected Components : 32
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 4109
Maximum Edges in a Connected Component : 73412
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.161843
Graph Density : 0.00165901598378251
Modularity : 0.245344
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 1,633 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, 03 March 2020 at 08:57 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 18-minute period from Saturday, 22 February 2020 at 19:21 UTC to Tuesday, 03 March 2020 at 08:39 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:
[2942] #some4surgery,#some4iqlatam [2168] juliomayol,swexner [828] pferrada1,kmattox1 [720] #some4iqlatam,juliomayol [705] #some4iqlatam,#some4surgery [631] salo75,jbmatthews [607] #some4trauma,#some4surgery [562] pferrada1,juliomayol [520] #some4iqlatam,#medtwitter [497] swexner,misirg1 Top Word Pairs in Tweet in G1:
[2444] #some4surgery,#some4iqlatam [2015] juliomayol,swexner [787] pferrada1,kmattox1 [660] #some4iqlatam,juliomayol [613] salo75,jbmatthews [526] pferrada1,juliomayol [490] #some4iqlatam,#medtwitter [477] swexner,misirg1 [462] swexner,salo75 [447] #some4iqlatam,#some4surgery Top Word Pairs in Tweet in G2:
[366] #some4trauma,#some4surgery [266] #colorectalsurgery,#some4surgery [248] #some4surgery,#some4iqlatam [181] #colorectalresearch,#some4surgery [146] #colorectalsurgery,#colorectalresearch [141] #some4surgery,#colorectalsurgery [134] #some4,#some4pedsurg [132] #ehealth,#pediatricsurgery [126] #some4surgery,me4_so [120] eq,5d Top Word Pairs in Tweet in G3:
[216] #some4surgery,#some4iqlatam [175] #some4iqlatam,#some4surgery [68] amazing,live [68] live,event [67] #some4iqlatam,#me4education [61] juliomayol,swexner [56] over,world [50] surgery,professor [49] #some4trauma,#some4surgery [46] work,#some4surgery Top Word Pairs in Tweet in G4:
[27] #some4surgery,#letsdoittogether [25] juliomayol,gabrielamoslein [25] gabrielamoslein,ksoreide [20] ksoreide,#some4surgery [20] #medtwitter,#some4surgery [13] march,2nd [8] want,come [8] come,learn [8] learn,clecliniclondon [8] clecliniclondon,offering Top Word Pairs in Tweet in G5:
[165] #some4surgery,#some4hernia [88] #herniasurgery,#some4surgery [81] #herniafriends,#some4surgery [80] #herniasurgery,#herniafriends [21] male,allies [21] allies,creating [21] creating,policy [21] policy,change [21] change,addresses [21] addresses,workforce Top Word Pairs in Tweet in G6:
[10] well,done [9] surgerylegends,alin49192343 [9] alin49192343,cerebral [9] cerebral,angiography [9] angiography,preceded [9] preceded,carotid [9] carotid,endarterectomy [9] endarterectomy,nearly [9] nearly,3 [9] 3,decades 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:
[25] #some4surgery,hpb_so [18] #some4surgery,#some4hpb [14] evidence,map [14] #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 G9:
[13] #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 G10:
[24] cutting,edge [12] bmjsurgtech,new [12] new,part [12] part,bmj_latest [12] bmj_latest,bmj_company [12] bmj_company,family [12] family,looking [12] looking,high [12] high,quality [12] quality,publications 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 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: