The graph represents a network of 2,518 Twitter users whose recent tweets contained "#aap19 OR #aap2019", 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, 27 October 2019 at 19:21 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 0-minute period from Friday, 18 October 2019 at 15:11 UTC to Sunday, 27 October 2019 at 19:12 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 : 2518
Unique Edges : 6669
Edges With Duplicates : 7612
Total Edges : 14281
Self-Loops : 1661
Reciprocated Vertex Pair Ratio : 0.0625814863102999
Reciprocated Edge Ratio : 0.117791411042945
Connected Components : 134
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 2244
Maximum Edges in a Connected Component : 13869
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.504206
Graph Density : 0.00128593396516081
Modularity : 0.345382
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,518 Twitter users whose recent tweets contained "#aap19 OR #aap2019", 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, 27 October 2019 at 19:21 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 0-minute period from Friday, 18 October 2019 at 15:11 UTC to Sunday, 27 October 2019 at 19:12 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 : #aap19 OR #aap2019
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:
[559] don,t [334] gun,violence [305] new,orleans [224] sonia,sotomayor [204] advocacy,campaign [200] #aap19,aapsopt [190] aapexperience,#aap19 [178] children,families [178] today,#aap19 [178] violence,prevention Top Word Pairs in Tweet in G1:
[364] don,t [164] sonia,sotomayor [120] justice,sotomayor [116] aapexperience,#aap19 [112] justice,sonia [112] #aap19,#tweetiatrician [105] new,orleans [104] sotomayor,#aap19 [95] #aap19,aapexperience [89] caring,adult Top Word Pairs in Tweet in G2:
[215] gun,violence [116] advocacy,campaign [112] violence,prevention [111] #aap19,aapsopt [109] aapsopt,announced [109] announced,next [109] next,advocacy [109] campaign,gun [109] #aap19,conference [108] enough,sleep Top Word Pairs in Tweet in G3:
[96] #sonpm19,#aap19 [41] new,orleans [40] aapexperience,#aap19 [39] #aap19,#sonpm19 [38] #aap19,aapexperience [31] don,t [27] #sonpm19,aapneonatal [24] learn,more [23] gun,violence [20] stop,booth Top Word Pairs in Tweet in G4:
[42] #aap19,peterhotez [34] year,old [32] drop,under [32] under,5 [32] 5,year [32] old,deaths [32] deaths,due [32] due,vaccination [32] vaccination,jaw [32] jaw,dropping Top Word Pairs in Tweet in G5:
[35] #i2,#aap19 [35] #aap,#aap19 [33] #aapexperience,#aap19 [30] stop,cutting [29] #ethics,#bioethics [26] cutting,baby [26] baby,penis [25] create,better [25] better,dialogue [25] dialogue,between Top Word Pairs in Tweet in G6:
[57] don,t [20] sonia,sotomayor [20] #aap19,plenary [19] t,assume [19] assume,worst [19] worst,people [19] people,see [19] something,don [19] t,understand [18] see,doing Top Word Pairs in Tweet in G7:
[13] #aap19,acstrauma [12] stem,cells [12] excellent,presentation [11] acstrauma,aapexperience [11] great,job [10] uthsc,#lebonheur [8] true,#aap19 [8] aapexperience,advocacyapsa [8] congratulations,excellent [8] presentation,rmarayati Top Word Pairs in Tweet in G8:
[21] new,orleans [12] stop,booth [9] learn,more [8] booth,938 [7] resource,center [7] booth,648 [6] sure,stop [6] physician,mba [5] orleans,#aap19 [5] nce,#aap19 Top Word Pairs in Tweet in G9:
[32] team,specialists [32] specialists,collaborated [32] collaborated,develop [32] develop,best [32] best,practices [32] practices,leading [32] leading,first [32] first,intrauterine [32] intrauterine,myelomeningocele [32] myelomeningocele,repairs Top Word Pairs in Tweet in G10:
[25] don,t [23] new,orleans [19] mom,safe [19] safe,travel [19] travel,groups [19] groups,don [19] t,worry [19] worry,new [19] orleans,crawling [19] crawling,pediatricians 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 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:
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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: