The graph represents a network of 1,408 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 Monday, 24 February 2020 at 07:28 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 5-minute period from Friday, 14 February 2020 at 14:24 UTC to Monday, 24 February 2020 at 02:29 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 the following graph: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=221278
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 : 3518
Unique Edges : 15733
Edges With Duplicates : 42761
Total Edges : 58494
Self-Loops : 1123
Reciprocated Vertex Pair Ratio : 0.0548804736865362
Reciprocated Edge Ratio : 0.104050601097474
Connected Components : 35
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 3420
Maximum Edges in a Connected Component : 58335
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.173369
Graph Density : 0.00192947339512153
Modularity : 0.2524
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,408 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 Monday, 24 February 2020 at 07:28 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 5-minute period from Friday, 14 February 2020 at 14:24 UTC to Monday, 24 February 2020 at 02:29 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:
[2406] #some4surgery,#some4iqlatam [1557] juliomayol,swexner [809] pferrada1,kmattox1 [650] #some4iqlatam,juliomayol [631] salo75,jbmatthews [596] #some4iqlatam,#some4surgery [545] #some4trauma,#some4surgery [520] #some4iqlatam,#medtwitter [470] swexner,salo75 [460] #medtwitter,juliomayol Top Word Pairs in Tweet in G1:
[1905] #some4surgery,#some4iqlatam [1373] juliomayol,swexner [748] pferrada1,kmattox1 [608] salo75,jbmatthews [566] #some4iqlatam,juliomayol [473] #some4iqlatam,#medtwitter [444] swexner,salo75 [420] #medtwitter,juliomayol [399] gastrocirs,misirg1 [383] misirg1,pferrada1 Top Word Pairs in Tweet in G2:
[282] #colorectalsurgery,#some4surgery [201] #colorectalresearch,#some4surgery [178] #some4surgery,#some4iqlatam [166] #colorectalsurgery,#colorectalresearch [144] #some4surgery,#colorectalsurgery [130] #some4surgery,escp_tweets [123] eq,5d [118] juliomayol,swexner [110] editor,chief [110] chief,neil_j_smart Top Word Pairs in Tweet in G3:
[340] #some4trauma,#some4surgery [178] #some4surgery,#some4iqlatam [112] #some4surgery,#some4hernia [101] #some4,#some4pedsurg [98] #ehealth,#pediatricsurgery [84] #globalsurgery,#some4iqlatam [83] #scitwitter,#scicomm [83] #mattoxmonday,#some4trauma [79] #some4pedsurg,#globalsurgery [79] #scicomm,#meded Top Word Pairs in Tweet in G4:
[115] #some4iqlatam,#some4surgery [49] #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 G5:
[75] #some4surgery,#some4iqlatam [62] #some4iqlatam,#me4education [39] #soyamcg,#some4surgery [25] #some4iqlatam,#some4surgery [21] #me4education,#patientsafety [21] #patientsafety,#soyamcg [17] #medtwitter,#some4surgery [17] willingness,operate [17] operate,useful [17] useful,barometer Top Word Pairs in Tweet in G6:
[34] #research,#some4surgery [25] #wellbeing,#breastcancer [25] #breastcancer,#reconstruction [25] #reconstruction,implant [25] implant,tissues [25] tissues,find [25] find,out [25] out,women [25] women,prefer [25] prefer,#openaccess 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:
[17] #some4surgery,#some4hpb [15] evidence,map [15] #surgery,#some4surgery [12] map,pancreatic [12] retired,surgeons [12] #some4surgery,hpb_so [11] pancreatic,surgery [11] #surgery,paraduodenal [11] paraduodenal,#pancreatitis [11] #pancreatitis,associated Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[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 [9] decades,moniz Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: