The graph represents a network of 4,099 Twitter users whose recent tweets contained "#acscc19 OR #acscc2019 until: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 Wednesday, 30 October 2019 at 16:00 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 44-minute period from Monday, 21 October 2019 at 14:15 UTC to Tuesday, 29 October 2019 at 23:59 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 : 4099
Unique Edges : 16525
Edges With Duplicates : 20580
Total Edges : 37105
Self-Loops : 1032
Reciprocated Vertex Pair Ratio : 0.0985279268746346
Reciprocated Edge Ratio : 0.179381742537855
Connected Components : 90
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 3961
Maximum Edges in a Connected Component : 36904
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.057666
Graph Density : 0.00123058499311394
Modularity : 0.306645
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,099 Twitter users whose recent tweets contained "#acscc19 OR #acscc2019 until: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 Wednesday, 30 October 2019 at 16:00 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 44-minute period from Monday, 21 October 2019 at 14:15 UTC to Tuesday, 29 October 2019 at 23:59 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 until: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:
[810] amcollsurgeons,#acscc19 [788] #some4iqlatam,#some4surgery [743] #some4surgery,#some4surgicaleducation [654] #acscc19,#some4iqlatam [603] juliomayol,swexner [533] #aws2019,#acscc19 [501] #some4surgicaleducation,pferrada1 [477] pferrada1,pipecabrerav [473] swexner,misirg1 [464] pipecabrerav,juliomayol Top Word Pairs in Tweet in G1:
[454] #aws2019,#acscc19 [353] amcollsurgeons,#acscc19 [232] #acscc19,#aws2019 [141] #acscc19,amcollsurgeons [140] womensurgeons,#acscc19 [132] clinical,congress [109] md,facs [109] #acscc19,#awsatacs [104] amcollsurgeons,womensurgeons [97] achievement,award Top Word Pairs in Tweet in G2:
[764] #some4iqlatam,#some4surgery [724] #some4surgery,#some4surgicaleducation [629] #acscc19,#some4iqlatam [587] juliomayol,swexner [484] #some4surgicaleducation,pferrada1 [460] pferrada1,pipecabrerav [456] swexner,misirg1 [448] pipecabrerav,juliomayol [220] misirg1,#heforshe [199] years,old Top Word Pairs in Tweet in G3:
[151] amcollsurgeons,#acscc19 [110] clinical,congress [74] san,francisco [71] #acscc19,amcollsurgeons [66] global,surgery [55] md,facs [54] american,college [51] college,surgeons [47] amcollsurgeons,clinical [43] surgery,#acscc19 Top Word Pairs in Tweet in G4:
[317] verbal,physical [317] physical,abuse [315] national,survey [315] survey,7 [315] 7,409 [315] 409,general [315] general,surgery [315] surgery,residents [315] residents,32 [315] 32,reported Top Word Pairs in Tweet in G5:
[65] amcollsurgeons,#acscc19 [22] #acscc19,acstrauma [19] text,ftl100 [19] ftl100,41444 [17] #acscc19,amcollsurgeons [17] clinical,congress [17] acstrauma,#acscc19 [16] #ftl100,#acscc19 [16] san,francisco [16] md,facs Top Word Pairs in Tweet in G6:
[29] amcollsurgeons,#acscc19 [20] clinical,congress [17] san,francisco [15] #acscc19,amcollsurgeons [14] uofusurgery,uofuhealth [13] #acscc19,brig13smith1 [12] candor,compassion [11] new,fellows [11] check,out [9] american,college Top Word Pairs in Tweet in G7:
[17] amcollsurgeons,#acscc19 [14] #surged,#meded [12] amcollsurgeons,#acscc2019 [10] thank,amcollsurgeons [10] #acscc2019,allowing [10] allowing,present [10] present,pts [10] pts,#implicitbias [10] #implicitbias,male [10] male,surgeons Top Word Pairs in Tweet in G8:
[13] san,francisco [10] stop,booth [10] physician,mba [10] booth,330 [8] visit,booth [7] learn,more [6] mba,program [6] 330,learn [5] acs,clinical [5] clinical,congress Top Word Pairs in Tweet in G9:
[12] american,college [11] display,year's [11] year's,american [11] college,surgery [11] surgery,congress [8] series,display [8] lilliankao1,herbchen [7] several,titles [7] titles,success [7] success,academic Top Word Pairs in Tweet in G10:
[5] 100th,acs [5] acs,president [5] president,convocation [5] data,nature [5] nature,medicine [5] medicine,paper [5] paper,3 [5] 3,weeks [5] weeks,ago [5] ago,excellent 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 Replied-To in G10:
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: