The graph represents a network of 1,767 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, 03 February 2020 at 10:21 UTC and adds to the map shared previously at http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220316
Combined, the tweets in the network were tweeted over a period of almost 15 days from Sunday, 19 January 2020 at 10:13 UTC to Monday, 27 January 2020 at 11:00 UTC to Monday, 03 February 2020 at 08:01 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".
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 : 1767
Unique Edges : 7352
Edges With Duplicates : 12037
Total Edges : 19389
Self-Loops : 378
Reciprocated Vertex Pair Ratio : 0.0473470284521586
Reciprocated Edge Ratio : 0.0904132578141389
Connected Components : 36
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 1671
Maximum Edges in a Connected Component : 19251
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.239624
Graph Density : 0.00305525806259337
Modularity : 0.31478
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 965 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, 03 February 2020 at 10:21 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 38-minute period from Sunday, 26 January 2020 at 18:23 UTC to Monday, 03 February 2020 at 08:01 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:
[885] #some4surgery,#some4iqlatam [593] juliomayol,swexner [493] #some4iqlatam,#medtwitter [458] 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:
[772] #some4surgery,#some4iqlatam [566] juliomayol,swexner [471] #some4iqlatam,#medtwitter [444] swexner,salo75 [412] #medtwitter,juliomayol [386] pferrada1,kmattox1 [374] salo75,jbmatthews [370] misirg1,pferrada1 [368] gastrocirs,misirg1 [361] jbmatthews,jiseav Top Word Pairs in Tweet in G2:
[243] #some4trauma,#some4surgery [93] #mattoxmonday,#some4trauma [78] #some4surgery,me4_so [74] top,knife [59] #some4surgery,#some4trauma [55] kmattox1,#mattoxmonday [52] #some4surgery,#some4iqlatam [47] rfarr15,jalonsaenz [46] me4_so,juliomayol [42] jalonsaenz,olga_blasco Top Word Pairs in Tweet in G3:
[98] #colorectalsurgery,#some4surgery [68] j_rosellon,monicamillan72 [64] #colorectalresearch,#some4surgery [58] #colorectalsurgery,#colorectalresearch [55] jjearnshaw,amylightnermd [55] #some4surgery,escp_tweets [47] #some4surgery,#some4ibd [44] #opensourceresearch,#some4surgery [43] #some4surgery,#colorectalsurgery [42] video,abstract Top Word Pairs in Tweet in G4:
[16] mass,violence [16] violence,incidents [16] incidents,present [16] present,trauma [16] trauma,centers [16] centers,unique [16] unique,surgical [16] surgical,resource [16] resource,challenges [16] challenges,conventional Top Word Pairs in Tweet in G5:
[27] #urology,#some4surgery [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 G6:
[99] #some4surgery,#some4hernia [44] #herniasurgery,#some4surgery [31] #herniasurgery,#herniafriends [26] #cirugía,#paredabdominal [25] #herniafriends,#some4surgery [19] curso,#cirugía [19] #some4hernia,#herniamerida [18] torre,#6k [18] #6k,vims_system [17] reparación,#hernia Top Word Pairs in Tweet in G7:
[33] #some4surgery,#some4iqlatam [23] #some4iqlatam,#me4education [21] #me4education,#patientsafety [21] #patientsafety,#soyamcg [19] #some4iqlatam,#some4surgery [11] #patientsafety,#me4education [10] dr,roberto [10] paciente,quirúrgico [10] #some4surgery,#soyamcg [10] fuera,quirófano Top Word Pairs in Tweet in G8:
[6] #some4gynonc,#some4surgery [4] miss,chance [4] chance,read [4] read,latest [4] latest,alessacolamd [4] alessacolamd,nejm [4] nejm,9 [4] 9,paragraphs [4] paragraphs,go [4] go,through Top Word Pairs in Tweet in G9:
[11] rectal,cancer [9] swexner,juliomayol [7] icg,flourescence [7] flourescence,angiography [7] angiography,associated [7] associated,significantly [7] significantly,lower [7] lower,rate [7] rate,rectal [7] cancer,surgery Top Word Pairs in Tweet in G10:
[11] #some4surgery,#some4pedsurg [8] recently,saw [8] saw,post [8] post,akronchildrens [8] akronchildrens,surgeon [8] surgeon,makes [8] makes,intricate [8] intricate,post [8] post,op [8] op,dressings Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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