The graph represents a network of 1,406 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 Sunday, 01 December 2019 at 18:14 UTC.
The tweets in the network were tweeted over the 9-day, 6-hour, 43-minute period from Friday, 22 November 2019 at 11:26 UTC to Sunday, 01 December 2019 at 18:10 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 : 1406
Unique Edges : 7637
Edges With Duplicates : 11407
Total Edges : 19044
Self-Loops : 300
Reciprocated Vertex Pair Ratio : 0.0796654929577465
Reciprocated Edge Ratio : 0.147574398695475
Connected Components : 24
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 1352
Maximum Edges in a Connected Component : 18978
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.889099
Graph Density : 0.00496701983871866
Modularity : 0.287855
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,406 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 Sunday, 01 December 2019 at 18:14 UTC.
The tweets in the network were tweeted over the 9-day, 6-hour, 43-minute period from Friday, 22 November 2019 at 11:26 UTC to Sunday, 01 December 2019 at 18:10 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:
[974] #some4surgery,#some4iqlatam [690] juliomayol,swexner [477] #some4iqlatam,#some4surgicaleducation [454] kmattox1,topknife_b [407] topknife_b,docmartin22 [407] docmartin22,juliomayol [368] swexner,jjcolemanmd [360] #some4surgicaleducation,#some4trauma [325] #some4trauma,#some4surgery [271] #some4trauma,kmattox1 Top Word Pairs in Tweet in G1:
[792] #some4surgery,#some4iqlatam [627] juliomayol,swexner [423] #some4iqlatam,#some4surgicaleducation [420] kmattox1,topknife_b [374] topknife_b,docmartin22 [374] docmartin22,juliomayol [333] swexner,jjcolemanmd [326] #some4surgicaleducation,#some4trauma [245] #some4trauma,kmattox1 [222] swexner,pferrada1 Top Word Pairs in Tweet in G2:
[254] #some4trauma,#some4surgery [142] #some4surgery,#some4iqlatam [115] #colorectalsurgery,#some4surgery [70] me4_so,me4trauma [67] bariatricsso,sthoracics [67] #some4iqlatam,#some4surgery [60] #colorectalresearch,#some4surgery [60] juliomayol,swexner [56] #some4surgery,#colorectalsurgery [54] me4trauma,me4ped Top Word Pairs in Tweet in G3:
[34] #herniasurgery,#herniafriends [34] #herniafriends,#some4surgery [33] #some4circanarias,#some4surgery [25] #some4surgery,#herniaevent [25] #herniaevent,#herniacongress [25] verde,indocianina [23] curso,cirugía [21] #some4surgery,#some4surgicaleducation [19] nueva,torre [19] torre,medtronic Top Word Pairs in Tweet in G4:
[13] #gbca,preop [13] preop,workup [13] workup,mets [13] mets,intraop [13] intraop,found [13] found,2 [13] 2,profw_edinsurg [13] profw_edinsurg,profdemartines [13] profdemartines,some4hpb [13] some4hpb,#some4surgery Top Word Pairs in Tweet in G5:
[14] #some4iqlatam,#some4surgery [8] make,sure [8] sure,happy [8] happy,befor [8] befor,finish [8] finish,operation [8] operation,iq_me4 [8] iq_me4,misirg1 [8] misirg1,royal_college [8] royal_college,zombienietzsche Top Word Pairs in Tweet in G6:
[8] burnout,surgical [8] surgical,trainees [8] trainees,consultants [8] consultants,well [8] well,recognised [8] recognised,formally [8] formally,quantified [8] quantified,please [8] please,take [8] take,part Top Word Pairs in Tweet in G7:
[18] día,hoy [18] hoy,hospitalesp [18] hospitalesp,tuvimos [18] tuvimos,simulación [18] simulación,sistema [18] sistema,quirúrgico [18] quirúrgico,da [18] da,vinci [18] vinci,qué [18] qué,chulada Top Word Pairs in Tweet in G8:
[3] awesome,#arterialanastomosis [3] #arterialanastomosis,teaching [3] teaching,hmhsurgery [3] hmhsurgery,residents [3] residents,morning [3] morning,bavaremd [3] bavaremd,practicing [3] practicing,technical [3] technical,skills [3] skills,pumped Top Word Pairs in Tweet in G9:
[9] #colorectalsurgery,#some4surgery [3] #some4surgery,#some4surgicaleducation [3] re,underway [3] underway,day [3] day,two [3] two,jnjinstitute [3] jnjinstitute,#colorectalsymposium [3] #colorectalsymposium,kicks [3] kicks,bowelsurgeon [3] bowelsurgeon,researchactive Top Word Pairs in Tweet in G10:
[12] #some4surgery,#hcsm [12] #hcsm,#meded [10] important,#visualabstract [10] #visualabstract,taniakarora [10] taniakarora,et [10] et,investigating [10] investigating,#diversity [10] #diversity,within [10] within,apdsurgery [10] apdsurgery,leadership 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 G5:
Top Replied-To in G6:
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: