The graph represents a network of 5,069 Twitter users whose recent tweets contained "#SoMe4Surgery", or who were replied to or mentioned in those tweets, taken data sets limited to a maximum of 18,000 tweets.
The tweets in the network were tweeted over the 58-day period from Sunday, 19 January 2020 at 10:13 UTC to Tuesday, 17 March 2020 at 07:01 UTC. The final data were obtained from Twitter on Tuesday, 17 March 2020 at 07:42 UTC.
This adds to http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=222680 and earlier graphs. I have deleted the "Top tweeters in entire graph" as the data were not displaying correctly.
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 : 5069
Unique Edges : 23778
Edges With Duplicates : 69961
Total Edges : 93739
Self-Loops : 1643
Reciprocated Vertex Pair Ratio : 0.0532826695617393
Reciprocated Edge Ratio : 0.1011744920932
Connected Components : 35
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 4997
Maximum Edges in a Connected Component : 93655
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.174278
Graph Density : 0.00143508921788552
Modularity : 0.243551
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 1,282 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, 17 March 2020 at 07:42 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 40-minute period from Sunday, 08 March 2020 at 14:20 UTC to Tuesday, 17 March 2020 at 07:01 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:
[3300] #some4surgery,#some4iqlatam [2538] juliomayol,swexner [829] pferrada1,kmattox1 [774] #some4iqlatam,juliomayol [754] pferrada1,juliomayol [734] #some4iqlatam,#some4surgery [727] #some4trauma,#some4surgery [723] swexner,misirg1 [631] salo75,jbmatthews [533] swexner,dissanaikemd Top Word Pairs in Tweet in G1:
[467] #some4trauma,#some4surgery [410] #colorectalsurgery,#some4surgery [311] #colorectalresearch,#some4surgery [308] #some4surgery,#some4iqlatam [268] #colorectalsurgery,#colorectalresearch [249] https,t [249] t,co [186] #some4surgery,#colorectalsurgery [177] #some4,#some4pedsurg [159] #globalsurgery,#some4iqlatam Top Word Pairs in Tweet in G2:
[2851] #some4surgery,#some4iqlatam [2325] juliomayol,swexner [791] pferrada1,kmattox1 [711] #some4iqlatam,juliomayol [707] pferrada1,juliomayol [689] swexner,misirg1 [616] salo75,jbmatthews [516] #some4iqlatam,#some4surgery [501] #some4surgery,pferrada1 [494] #some4iqlatam,#medtwitter Top Word Pairs in Tweet in G3:
[167] #some4surgery,#some4hernia [100] #herniasurgery,#some4surgery [94] #some4surgery,#visualabstract [83] #herniafriends,#some4surgery [80] #herniasurgery,#herniafriends [57] #some4pedsurg,#some4surgery [46] #some4trauma,#some4surgery [36] shikhajainmd,smkaty [36] smkaty,drhowardliu [36] drhowardliu,#some4surgery Top Word Pairs in Tweet in G4:
[103] #some4iqlatam,#some4surgery [61] #some4surgery,#some4iqlatam [43] complication,rate [40] work,#some4surgery [39] one,surgeons [39] surgeons,boasted [39] boasted,zero [39] zero,complication [39] rate,entire [39] entire,career Top Word Pairs in Tweet in G5:
[70] amazing,live [70] live,event [62] over,world [50] join,participate [50] participate,amazing [50] event,followed [50] followed,over [42] procedure,dr [36] #urology,#some4surgery [35] #treatbph,#urology Top Word Pairs in Tweet in G6:
[27] 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 Word Pairs in Tweet in G7:
[28] #some4surgery,hpb_so [19] pancreatic,surgery [19] #some4surgery,#some4hpb [16] #surgery,#some4surgery [15] evidence,map [14] last,#rct [14] #rct,pancreaticojejunostomy [14] pancreaticojejunostomy,vs [14] vs,pancreaticogastrostomy [14] pancreaticogastrostomy,patients 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:
[23] #mir2020abierto,#some4surgery [15] ante,2 [15] 2,hospitales [15] hospitales,parecidos [15] parecidos,elegid [15] elegid,aquél [15] aquél,guardias [15] guardias,empiecen [15] empiecen,15 [15] 15,00 Top Word Pairs in Tweet in G10:
[36] #airseal,ifs [27] #some4surgery,#some4hernia [25] #cirugía,#paredabdominal [21] inteligente,#airseal [19] curso,#cirugía [19] #some4hernia,#herniamerida [18] torre,#6k [18] #6k,vims_system [17] reparación,#hernia [17] #cirugía,#laparoscopia 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: