The graph represents a network of 1,255 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, 27 January 2020 at 11:17 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 46-minute period from Sunday, 19 January 2020 at 10:13 UTC to Monday, 27 January 2020 at 11:00 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 : 1255
Unique Edges : 5580
Edges With Duplicates : 9083
Total Edges : 14663
Self-Loops : 174
Reciprocated Vertex Pair Ratio : 0.0462115528882221
Reciprocated Edge Ratio : 0.0883407428653377
Connected Components : 27
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 1177
Maximum Edges in a Connected Component : 14554
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.205353
Graph Density : 0.00443076180127973
Modularity : 0.281451
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,255 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, 27 January 2020 at 11:17 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 46-minute period from Sunday, 19 January 2020 at 10:13 UTC to Monday, 27 January 2020 at 11:00 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:
[782] #some4surgery,#some4iqlatam [592] juliomayol,swexner [493] #some4iqlatam,#medtwitter [452] swexner,salo75 [430] #medtwitter,juliomayol [398] pferrada1,kmattox1 [382] salo75,jbmatthews [378] misirg1,pferrada1 [376] gastrocirs,misirg1 [369] jbmatthews,jiseav Top Word Pairs in Tweet in G1:
[578] #some4surgery,#some4iqlatam [405] juliomayol,swexner [315] #some4iqlatam,#medtwitter [305] swexner,salo75 [263] #medtwitter,juliomayol [261] pferrada1,kmattox1 [250] salo75,jbmatthews [246] misirg1,pferrada1 [244] gastrocirs,misirg1 [240] jbmatthews,jiseav Top Word Pairs in Tweet in G2:
[66] j_rosellon,monicamillan72 [51] jjearnshaw,amylightnermd [39] follow,up [38] #colorectalsurgery,#some4surgery [38] video,abstract [37] #opensourceresearch,#some4surgery [37] #some4surgery,#osrweek2 [32] #some4surgery,#some4ibd [32] short,ibdq [31] #colorectalsurgery,#ibd Top Word Pairs in Tweet in G3:
[87] #some4surgery,#some4hernia [42] #herniasurgery,#some4surgery [31] #some4surgery,me4_so [30] single,port [25] cirugía,pared [25] pared,abdominal [25] #herniafriends,#some4surgery [25] #bariatricsurgery,#some4surgery [23] #cirugía,#paredabdominal [21] jornada,actualización Top Word Pairs in Tweet in G4:
[166] #some4surgery,#some4iqlatam [161] juliomayol,swexner [158] #some4iqlatam,#medtwitter [147] #medtwitter,juliomayol [138] swexner,salo75 [128] pferrada1,kmattox1 [123] salo75,jbmatthews [123] gastrocirs,misirg1 [123] misirg1,pferrada1 [120] jbmatthews,jiseav Top Word Pairs in Tweet in G5:
[16] now,10 [16] 10,000 [16] 000,followers [16] followers,celebration [16] celebration,new [16] new,look [16] look,new [16] new,username [16] username,ascrs_1 [16] ascrs_1,different Top Word Pairs in Tweet in G6:
[17] mass,violence [17] violence,incidents [17] incidents,present [17] present,trauma [17] trauma,centers [17] centers,unique [17] unique,surgical [17] surgical,resource [17] resource,challenges [17] challenges,conventional Top Word Pairs in Tweet in G7:
[6] #some4gynonc,#some4surgery [4] #some4surgery,#some4gynonc [3] christinauwins,kavithamadhuri [3] kavithamadhuri,grace_women [3] grace_women,sundar_sudha [3] sundar_sudha,agz_eriksson [3] agz_eriksson,ijgconline [3] case,point [3] point,surgical [3] surgical,trials Top Word Pairs in Tweet in G8:
[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 [16] exclusive,social Top Word Pairs in Tweet in G9:
[16] broadcast,1 [16] rectal,cancer [14] free,view [14] view,broadcast [13] 1,patient [13] patient,factors [13] factors,affect [13] affect,rectal [13] cancer,management [8] #meded,#medtwitter Top Word Pairs in Tweet in G10:
[11] #surgery,paraduodenal [11] paraduodenal,#pancreatitis [11] #pancreatitis,associated [11] associated,incidence [11] incidence,diabetes [11] diabetes,vs [11] vs,medical [11] medical,treatment [11] treatment,read [11] read,paper 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 G7:
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: