The graph represents a network of 4,536 Twitter users whose recent tweets were included in a list (ACSCC18 tweets and retweets) of 16075 tweet IDs, or who were replied to or mentioned in those tweets. 15217 out of 16075 tweets were collected. The network was obtained from Twitter on Sunday, 07 June 2020 at 17:44 UTC.
The tweets in the network were tweeted over the 14-day, 15-hour, 32-minute period from Tuesday, 16 October 2018 at 00:55 UTC to Tuesday, 30 October 2018 at 16:28 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 : 4536
Unique Edges : 20477
Edges With Duplicates : 23292
Total Edges : 43769
Self-Loops : 1527
Reciprocated Vertex Pair Ratio : 0.106854492355265
Reciprocated Edge Ratio : 0.193077758808009
Connected Components : 105
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 4387
Maximum Edges in a Connected Component : 43533
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.013787
Graph Density : 0.00125284627305943
Modularity : 0.283415
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,536 Twitter users whose recent tweets were included in a list (ACSCC18 tweets and retweets) of 16075 tweet IDs, or who were replied to or mentioned in those tweets. 15217 out of 16075 tweets were collected. The network was obtained from Twitter on Sunday, 07 June 2020 at 17:44 UTC.
The tweets in the network were tweeted over the 14-day, 15-hour, 32-minute period from Tuesday, 16 October 2018 at 00:55 UTC to Tuesday, 30 October 2018 at 16:28 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 : TwitterIDList
Graph Term : ACSCC18 tweets and retweets
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 G2:
[561] amcollsurgeons,#acscc18 [215] #acscc18,amcollsurgeons [167] clinical,congress [167] new,initiates [153] amcollsurgeons,president [129] new,amcollsurgeons [129] advice,new [128] president,new [113] initiates,humble [101] humble,deliver Top Word Pairs in Tweet in G3:
[166] amcollsurgeons,#acscc18 [128] #acscc18,amcollsurgeons [99] #acscc18,#awsatacs [92] don,t [91] #awsatacs,#acscc18 [90] clinical,congress [85] #soc18,#acscc18 [85] acstrauma,#acscc18 [85] #acscc2018,amcollsurgeons [85] amcollsurgeons,#acscc2018 Top Word Pairs in Tweet in G4:
[230] #awsatacs,#acscc18 [105] #acscc18,#awsatacs [78] amcollsurgeons,#acscc18 [77] #acscc18,womensurgeons [59] #acscc18,amcollsurgeons [46] amcollsurgeons,#acscc2018 [42] surgical,safety [42] global,surgery [41] don,t [38] #aws2018,#acscc18 Top Word Pairs in Tweet in G5:
[230] #acscc2018,#ilooklikeasurgeon [198] slide,striking [188] striking,wish [111] wish,magic [89] magic,fix [85] fix,#acscc2018 [75] #ilooklikeasurgeon,#physicianburnout [61] #physicianburnout,#physiciansuicide [60] don,t [58] surgery,resident Top Word Pairs in Tweet in G6:
[240] #aws2018,#acscc18 [239] cirujanos,nueva [239] nueva,colombia [239] proud,ladies [239] ladies,#aws2018 [239] #acscc18,#cirugíacolombiana [239] part,#acscc18 [239] proud,excited [54] excited,part [42] #acscc18,diverse Top Word Pairs in Tweet in G7:
[54] booth,375 [44] 375,#acscc18 [44] clinical,congress [42] come,booth [42] #acscc18,boston [41] booth,1047 [40] boston,convention [39] convention,exhibition [39] exhibition,center [39] #ultrasound,system Top Word Pairs in Tweet in G8:
[10] #cirugía,#cirujanos [10] #acscc18,#cirugía [9] resucitación,intraperitoneal [7] intraperitoneal,directa [6] directa,solución [6] solución,hipertónica [5] hipertónica,regular [5] regular,edema [5] edema,través [5] través,acuaporinas Top Word Pairs in Tweet in G9:
[75] really,think [43] think,gallbladder [38] gallbladder,kind [38] kind,adorable [38] adorable,#acs2018 [38] #acs2018,#acscc18 [38] amcollsurgeons,#acscc18 [38] 1,1 [38] rasacs,amcollsurgeons [38] convocation,ceremony Top Word Pairs in Tweet in G10:
[18] booth,321 [18] #acscc18,learn [18] c,sats [18] 321,#acscc18 [18] let's,connect [18] learn,more [8] visit,#acscc18 [6] visit,booth [6] bile,duct [6] stop,booth Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: