The graph represents a network of 5,555 Twitter users whose recent tweets contained "#acscc19 OR #acscc2019", 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 Friday, 01 November 2019 at 08:09 UTC and adds to the network collected on 30 October (http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=214795).
The tweets in the network were tweeted over the 10 day period from Monday, 21 October 2019 at 14:15 UTC to Friday, 01 November 2019 at 07:57 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 : 5555
Unique Edges : 23972
Edges With Duplicates : 34818
Total Edges : 58790
Self-Loops : 1502
Reciprocated Vertex Pair Ratio : 0.101661223910266
Reciprocated Edge Ratio : 0.184559865962109
Connected Components : 110
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 5398
Maximum Edges in a Connected Component : 58542
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.980785
Graph Density : 0.00100594863231372
Modularity : 0.291632
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,059 Twitter users whose recent tweets contained "#acscc19 OR #acscc2019 since:2019-10-30", 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 Friday, 01 November 2019 at 08:09 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 56-minute period from Wednesday, 30 October 2019 at 00:00 UTC to Friday, 01 November 2019 at 07:57 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 : #acscc19 OR #acscc2019 since:2019-10-30
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:
[1154] #some4iqlatam,#some4surgery [1108] amcollsurgeons,#acscc19 [1065] #some4surgery,#some4surgicaleducation [1020] #acscc19,#some4iqlatam [946] juliomayol,swexner [820] #some4surgicaleducation,pferrada1 [765] swexner,misirg1 [648] #acscc19,amcollsurgeons [581] general,surgery [580] pferrada1,pipecabrerav Top Word Pairs in Tweet in G1:
[561] amcollsurgeons,#acscc19 [483] #aws2019,#acscc19 [273] #acscc19,amcollsurgeons [246] #acscc19,#aws2019 [201] #acscc19,#awsatacs [195] clinical,congress [165] womensurgeons,#acscc19 [149] md,facs [133] amcollsurgeons,womensurgeons [125] don,t Top Word Pairs in Tweet in G2:
[888] #some4iqlatam,#some4surgery [810] #some4surgery,#some4surgicaleducation [762] #acscc19,#some4iqlatam [714] juliomayol,swexner [609] #some4surgicaleducation,pferrada1 [568] swexner,misirg1 [431] pferrada1,pipecabrerav [422] pipecabrerav,juliomayol [330] jjcolemanmd,salo75 [286] amcollsurgeons,#acscc19 Top Word Pairs in Tweet in G3:
[370] years,old [366] together,#acscc19 [366] #heforshe,#ilooklikeasurgeon [365] surgery,always [365] always,integrated [365] integrated,life [365] life,privilege [365] privilege,scrub [365] scrub,dad [365] dad,12 Top Word Pairs in Tweet in G4:
[96] global,surgery [84] amcollsurgeons,#acscc19 [82] #acscc19,amcollsurgeons [49] incisionglobal,gsurgstudents [48] gsurgstudents,rasacs [45] student,trainee [44] students,trainees [37] incisionglobal,rasacs [34] #globalsurgery,#acscc19 [34] surgery,#acscc19 Top Word Pairs in Tweet in G5:
[395] sexual,harassment [394] national,survey [394] survey,7 [394] 7,409 [394] 409,general [394] general,surgery [394] surgery,residents [394] residents,32 [394] 32,reported [394] reported,gender Top Word Pairs in Tweet in G6:
[57] amcollsurgeons,#acscc19 [36] da,vinci [33] american,college [24] uabsurgery,herbchen [19] college,surgeons [17] clinical,congress [16] booth,425 [16] academic,surgery [14] such,great [14] year's,american Top Word Pairs in Tweet in G7:
[17] great,talk [14] academicsurgery,amcollsurgeons [14] amcollsurgeons,pittsurgery [13] intracranial,hemorrhage [13] #acscc19,tuesday [13] tuesday,10 [12] #somedocs,#some4surgery [12] utsw_surgery,utswsurgerylife [11] surginfxsoc,#antibioticstewardship [11] #antibioticstewardship,#acscc19 Top Word Pairs in Tweet in G8:
[26] amcollsurgeons,#acscc19 [14] umiamimedicine,umiamimednews [14] #acscc19,amcollsurgeons [11] icon,surgery [10] hemodialysis,access [10] uwsurgery,uwsurgres [9] surgery,#acscc19 [9] medical,students [9] excellence,research [9] research,award Top Word Pairs in Tweet in G9:
[15] #acscc2019,#bcsm [12] breast,surgery [12] mastectomy,#acscc2019 [8] jill,dietz [8] oncoplastic,surgery [8] dennis,holmes [8] holmes,doctorholmesla [8] doctorholmesla,presents [8] presents,newer [8] newer,data Top Word Pairs in Tweet in G10:
[28] #surged,#meded [11] patient,safety [11] ucsfvascular,ucsfsurgery [10] mattbobel,presents [10] disadvantage,female [10] female,surgeons [10] #meded,#acscc19 [10] find,out [10] amcollsurgeons,#acscc19 [9] surgical,education Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: