The graph represents a network of 11,756 Twitter users whose recent tweets were included in a list (Tweet ID List #SoMe4Surgery) of 64533 tweet IDs, or who were replied to or mentioned in those tweets. 57607 out of 64533 tweets were collected. The network was obtained from Twitter on Sunday, 15 May 2022 at 11:31 UTC.
The tweets in the network were tweeted over the 224-day, 21-hour, 18-minute period from Saturday, 02 October 2021 at 09:33 UTC to Sunday, 15 May 2022 at 06:52 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 : 11756
Unique Edges : 97805
Edges With Duplicates : 238967
Total Edges : 336772
Self-Loops : 4518
Reciprocated Vertex Pair Ratio : 0.0597835190517592
Reciprocated Edge Ratio : 0.112822133911368
Connected Components : 63
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 11657
Maximum Edges in a Connected Component : 336652
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.914006
Graph Density : 0.000961446476773076
Modularity : 0.220517
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,756 Twitter users whose recent tweets were included in a list (Tweet ID List #SoMe4Surgery) of 64533 tweet IDs, or who were replied to or mentioned in those tweets. 57607 out of 64533 tweets were collected. The network was obtained from Twitter on Sunday, 15 May 2022 at 11:31 UTC.
The tweets in the network were tweeted over the 224-day, 21-hour, 18-minute period from Saturday, 02 October 2021 at 09:33 UTC to Sunday, 15 May 2022 at 06:52 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 : TwitterIDList
Graph Term : Tweet ID List #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:
[10111] #some4surgery,#medtwitter [7422] swexner,juliomayol [4009] pferrada1,swexner [3943] #some4surgery,pferrada1 [3913] #misirglobalsurgery,#some4surgery [3596] juliomayol,misirg1 [3307] pferrada1,pipecabrerav [3251] #some4iqlatam,#some4surgery [2882] juliomayol,swexner [2702] #medtwitter,pferrada1 Top Word Pairs in Tweet in G1:
[7847] #some4surgery,#medtwitter [6256] swexner,juliomayol [3687] pferrada1,swexner [3632] #some4surgery,pferrada1 [3571] #misirglobalsurgery,#some4surgery [3210] juliomayol,misirg1 [2951] pferrada1,pipecabrerav [2602] juliomayol,swexner [2519] #medtwitter,pferrada1 [1867] #some4iqlatam,#some4surgery Top Word Pairs in Tweet in G2:
[944] #some4surgery,#medtwitter [911] swexner,juliomayol [880] #some4surgery,#colorectalsurgery [647] #colorectalsurgery,#some4surgery [406] #some4surgery,juliomayol [397] #some4surgery,#openaccess [390] #herniasurgery,#some4surgery [352] https,t [352] t,co [339] #some4surgery,#colorectalresearch Top Word Pairs in Tweet in G3:
[420] #visualabstract,#some4surgery [215] swexner,juliomayol [188] #some4surgery,#medtwitter [187] #surgtwitter,#some4surgery [177] #medtwitter,#some4surgery [142] #some4surgery,#meded [138] #colorectalsurgery,#some4surgery [96] #surgtwitter,#medtwitter [95] #some4trauma,#some4surgery [93] #medtwitter,#meded Top Word Pairs in Tweet in G4:
[1014] #some4surgery,#medtwitter [991] #some4iqlatam,#some4surgery [383] #medtwitter,#gitwitter [88] abdominal,cavity [88] cavity,#some4iqlatam [87] anatomy,#some4iqlatam [83] duodenal,ulcer [82] ulcer,#some4iqlatam [78] valentino,syndrome [78] syndrome,paracolic Top Word Pairs in Tweet in G5:
[218] caso,clínico [218] power,point [217] #foamed,#some4surgery [215] vas,presentar [215] presentar,caso [215] clínico,quieres [215] quieres,impactar [215] impactar,tu [215] tu,audiencia [215] audiencia,tu Top Word Pairs in Tweet in G6:
[265] #herniasurgery,#some4surgery [206] #herniafriends,#some4surgery [185] #herniasurgery,#herniafriends [63] #some4surgery,#openaccess [44] #herniafriends,#herniasurgery [42] pm,cet [39] abdominal,wall [33] systematic,review [30] endorsed,ehs [30] #some4surgery,#medtwitter Top Word Pairs in Tweet in G7:
[15] #european,#surgical [15] #surgical,#research [10] #transplanttwitter,#some4surgery [10] event,newcastle [9] s,nearly [9] nearly,time [9] time,stage [9] stage,set [9] set,wait [9] wait,see Top Word Pairs in Tweet in G8:
[4] #medtwitter,#meded [3] íleo,biliar [2] #plasticsurgery,#some4surgery [2] #some4surgery,#surgery [2] #some4surgery,#globalsurgery [2] #carfentanyl,vs [2] vs,#fentanyl [2] #fentanyl,analouges [2] analouges,#carfentanyl [2] #carfentanyl,100x Top Word Pairs in Tweet in G9:
[5] transforming,healthcare [5] healthcare,episode [5] episode,1 [5] 1,metaverse [5] metaverse,emtombash [5] emtombash,ramyshaaban [5] ramyshaaban,tponsky [5] tponsky,cincykidssurg [5] cincykidssurg,#some4surgery [4] out,spread Top Word Pairs in Tweet in G10:
[15] congratulations,authors [10] #some4surgery,#medtwitter [9] manuscript,accepted [8] accepted,publication [8] #medtwitter,#some4surgery [6] #match2022,#gensurg [6] under,leadership [5] hot,out [5] out,oven [5] oven,manuscript 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 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 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: