The graph represents a network of 4,973 Twitter users whose tweets in the requested range contained "acog", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 June 2020 at 13:44 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 13-day, 21-hour, 16-minute period from Friday, 05 June 2020 at 02:29 UTC to Thursday, 18 June 2020 at 23:46 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 : 4973
Unique Edges : 4284
Edges With Duplicates : 6358
Total Edges : 10642
Number of Edge Types : 5
Replies to : 1882
Retweet : 1708
MentionsInRetweet : 2454
Mentions : 3059
Tweet : 1539
Self-Loops : 1558
Reciprocated Vertex Pair Ratio : 0.0486286714646956
Reciprocated Edge Ratio : 0.0927471712112781
Connected Components : 1275
Single-Vertex Connected Components : 615
Maximum Vertices in a Connected Component : 1953
Maximum Edges in a Connected Component : 6438
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.49627
Graph Density : 0.000218031756036095
Modularity : 0.501117
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,973 Twitter users whose tweets in the requested range contained "acog", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 June 2020 at 13:44 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 13-day, 21-hour, 16-minute period from Friday, 05 June 2020 at 02:29 UTC to Thursday, 18 June 2020 at 23:46 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 : GraphServerTwitterSearch
Graph Term : acog
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[17] prenatal,care [14] health,care [13] women,health [13] acog,well [10] gynecologist,care [8] care,people [7] people,once [7] once,uterus [7] uterus,vagina [7] vagina,ovaries Top Word Pairs in Tweet in G3:
[46] lil,baby [43] gt,gt [40] oh,fuck [33] warzone,day [32] man,footsteps [32] ve,seen [32] black,man [32] lets,go [32] fuck,oh [32] whole,time Top Word Pairs in Tweet in G4:
[6] acog,back [6] ash,acog [6] recruit,acog [5] stashyxx,kl4 [5] kl4,rainbow6game [4] bosg,acog [4] give,acog [4] rainbow6game,give [4] rainbow6game,please [4] finleyfixter,stashyxx Top Word Pairs in Tweet in G5:
[11] bazardebagda,wizards_magicbr [11] ao,vivo [9] lor,invitational [7] invitational,brasil [7] estamos,ao [6] meu,lojinha [6] korvachf,bazardebagda [6] marcos_flanders,acog_geek4ever [5] acog_geek4ever,ana85soares [5] tridzo,playvalorant Top Word Pairs in Tweet in G6:
[8] small,study [7] online,bloodjournal [7] bloodjournal,small [7] study,reporting [6] reporting,significant [6] significant,distribution [6] distribution,apixaban [6] apixaban,human [6] human,breast [6] breast,milk Top Word Pairs in Tweet in G7:
[12] reuters,business [10] acog,amermedicalassn [10] washingtonpost,nytimes [10] wsjhealth,wsjbusiness [10] ap,bbc [10] cnn,msnbc [10] cdcgov,hhsgov [10] nytimes,ap [10] hhsgov,acog [10] wsjbusiness,reuters Top Word Pairs in Tweet in G8:
[24] woobacks,shbzz [22] ash,acog [21] j0hnnysinsvevo,woobacks [20] shbzz,bikinibodhi [19] aspext6,j0hnnysinsvevo [19] bikinibodhi,shbzz [18] woobacks,bikinibodhi [17] smg,11 [16] bosg,acog [16] removing,acog Top Word Pairs in Tweet in G9:
[14] predicts,postpartum [10] postpartum,thyroiditis [10] thyroiditis,women [10] women,#hashimotos [9] #hashimotos,before [9] before,pregnancy [8] pregnancy,dr [6] dr,haixia [5] haixia,guan [5] guan,reviews Top Word Pairs in Tweet in G10:
[9] acog,recruit [9] sorry,lied [9] lied,acog [9] recruit,world [9] world,ready [9] ready,kind [9] kind,unstoppable [9] unstoppable,chaos [9] chaos,unleashed [9] unleashed,upon Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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