The graph represents a network of 3,742 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 Wednesday, 30 October 2019 at 08:10 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 16-minute period from Monday, 21 October 2019 at 13:31 UTC to Wednesday, 30 October 2019 at 07:47 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 : 3742
Unique Edges : 10928
Edges With Duplicates : 12394
Total Edges : 23322
Self-Loops : 2493
Reciprocated Vertex Pair Ratio : 0.0612714013950539
Reciprocated Edge Ratio : 0.115467921428038
Connected Components : 139
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 3393
Maximum Edges in a Connected Component : 22669
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.341067
Graph Density : 0.00095643762025119
Modularity : 0.34567
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,742 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 Wednesday, 30 October 2019 at 08:10 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 16-minute period from Monday, 21 October 2019 at 13:31 UTC to Wednesday, 30 October 2019 at 07:47 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:
[779] don,t [410] gun,violence [333] aapexperience,#aap19 [323] new,orleans [308] #aap19,conference [250] #aap19,aapexperience [249] #aap19,aapsopt [242] advocacy,campaign [240] sonia,sotomayor [240] today,#aap19 Top Word Pairs in Tweet in G1:
[541] don,t [190] sonia,sotomayor [172] aapexperience,#aap19 [159] #aap19,#tweetiatrician [151] #aap19,aapexperience [145] new,orleans [133] ameracadpeds,#aap19 [129] justice,sotomayor [127] #putkids1st,#aap19 [121] justice,sonia Top Word Pairs in Tweet in G2:
[256] gun,violence [175] #aap19,conference [137] advocacy,campaign [136] enough,sleep [132] children,families [132] violence,prevention [131] #aap19,aapsopt [129] today,#aap19 [129] aapsopt,announced [129] announced,next Top Word Pairs in Tweet in G3:
[110] aapexperience,#aap19 [102] #sonpm19,#aap19 [53] #aap19,aapexperience [51] #aap19,#sonpm19 [48] new,orleans [47] mental,health [43] s,strong [43] strong,smart [43] smart,help [40] let's,tell Top Word Pairs in Tweet in G4:
[65] don,t [56] #i2,#aap19 [53] #aap,#aapexperience [42] #bloodstainedmen,#firstdonoharm [42] #aap19,#aap [37] #aap19,ameracadpeds [33] #ethics,#bioethics [32] #aapexperience,#aap19 [32] #aapexperience,#bloodstainedmen [31] #i2,#aap2019 Top Word Pairs in Tweet in G5:
[71] food,allergy [57] don,t [46] team,specialists [46] specialists,collaborated [46] collaborated,develop [46] develop,best [46] best,practices [46] practices,leading [46] leading,first [46] first,intrauterine Top Word Pairs in Tweet in G6:
[48] #aap19,peterhotez [38] drop,under [38] under,5 [38] 5,year [38] year,old [38] old,deaths [38] deaths,due [38] due,vaccination [38] vaccination,jaw [38] jaw,dropping Top Word Pairs in Tweet in G7:
[24] new,orleans [13] stop,booth [10] booth,648 [9] learn,more [9] physician,mba [7] mba,program [6] american,academy [5] academy,pediatrics [5] orleans,#aap19 [5] sure,stop Top Word Pairs in Tweet in G8:
[48] यम,न [30] #aap19,#aap [29] क,ल [27] ब,र [26] ह,र [26] ल,ग [26] aamaadmiparty,arvindkejriwal [25] स,न [25] र,म [25] र,स Top Word Pairs in Tweet in G9:
[22] booth,#544 [21] #tweetiatrician,#aap19 [19] t,think [18] fun,fact [18] fact,quit [18] quit,residency [18] residency,intern [18] intern,year [18] year,didn [18] didn,t Top Word Pairs in Tweet in G10:
[47] new,research [47] research,finds [47] finds,school [47] school,age [47] age,#children [47] #children,9 [47] 9,hours [47] hours,#sleep [47] #sleep,weeknights [47] weeknights,show 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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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Top Mentioned in G8:
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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: