The graph represents a network of 6,267 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, 05 February 2021 at 15:14 UTC.
The requested start date was Friday, 05 February 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 19-hour, 59-minute period from Thursday, 21 January 2021 at 11:10 UTC to Thursday, 04 February 2021 at 07:09 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 : 6267
Unique Edges : 6568
Edges With Duplicates : 12997
Total Edges : 19565
Number of Edge Types : 5
Retweet : 3437
MentionsInRetweet : 5834
Mentions : 6238
Replies to : 2440
Tweet : 1616
Self-Loops : 1636
Reciprocated Vertex Pair Ratio : 0.0456664547573638
Reciprocated Edge Ratio : 0.0873442091397305
Connected Components : 859
Single-Vertex Connected Components : 379
Maximum Vertices in a Connected Component : 3432
Maximum Edges in a Connected Component : 15322
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 3.84906
Graph Density : 0.000251317692607674
Modularity : 0.424301
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,267 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, 05 February 2021 at 15:14 UTC.
The requested start date was Friday, 05 February 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 19-hour, 59-minute period from Thursday, 21 January 2021 at 11:10 UTC to Thursday, 04 February 2021 at 07:09 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 Entire Graph:
[639] pregnant,individuals [479] #covidvaccine,acog [476] recommendations,pregnant [476] acog,continues [473] breaking,quickly [473] quickly,revised [473] revised,recommendations [473] individuals,receiving [473] receiving,#covidvaccine [473] continues,assert Top Word Pairs in Tweet in G1:
[586] pregnant,individuals [455] #covidvaccine,acog [452] recommendations,pregnant [451] acog,continues [450] breaking,quickly [450] quickly,revised [450] revised,recommendations [450] individuals,receiving [450] receiving,#covidvaccine [450] continues,assert Top Word Pairs in Tweet in G2:
[24] acogはいつまでも使えるものだと思っていた,だが違った [21] ak47には,acogサイトつけない方がカッコいいよね [10] covid,19 [8] pregnant,women [7] pregnant,individuals [7] みんなからの匿名質問を募集中,こんな質問に答えてるよ [7] こんな質問に答えてるよ,お願いします [7] お願いします,もるんさん付 [7] もるんさん付,強くなりたいなら一緒にやらんか [7] 強くなりたいなら一緒にやらんか,acogサイトの近距離の対応の Top Word Pairs in Tweet in G3:
[35] krolquintana,acog_geek4ever [31] evil_the_,marcos_flanders [31] marcos_flanders,krolquintana [27] ana85soares,evil_the_ [23] bom,dia [22] evil_the_,krolquintana [20] acog_geek4ever,vaidesmaiar [16] lgsilvafilho,ana85soares [15] eu,não [15] lgsilvafilho,evil_the_ Top Word Pairs in Tweet in G4:
[151] すごい,whoが新型コロナのワクチンを妊婦さんへも接種できる形に推奨を変更 [150] ayako700,すごい [124] 授乳中に新型コロナワクチンは打てますか,という質問に対しては [124] という質問に対しては,acogやcdcの見解では [124] acogやcdcの見解では,授乳に関連する詳細なデータは十分に得られていない [124] 授乳に関連する詳細なデータは十分に得られていない,しかし原理としては子どもに影響が及ぶとは考えにくい [124] しかし原理としては子どもに影響が及ぶとは考えにくい,よって [123] dashige1,授乳中に新型コロナワクチンは打てますか [123] よって,非授乳婦と同様の接種優先順位に照らして [35] 米国産婦人科学会の,一般の妊産婦むけ新型コロナ情報 Top Word Pairs in Tweet in G5:
[54] maternal,health [46] health,care [43] care,professionals [39] sc,obstetrics [39] obstetrics,gynecology [39] gynecology,providers [39] providers,acog [39] acog,sc [39] sc,support [39] support,abortion Top Word Pairs in Tweet in G6:
[35] bosg,acog [12] acog,back [6] buck,acog [6] lost,acog [5] r4c,acog [5] acog,bosg [5] jager,acog [5] patgobrrr,bikinibodhi [5] hixcap,bikinibodhi [4] bring,back Top Word Pairs in Tweet in G7:
[14] maternal,health [10] acog,put [10] put,great [10] today,#maternalhealthawarenessday [8] #maternalhealthawarenessday,actually [8] actually,administration [8] administration,values [8] values,maternal [8] health,looking [8] looking,forward Top Word Pairs in Tweet in G8:
[8] call,duty [8] gt,gt [6] mental,health [4] deshaun,watson [4] duty,league [4] kickoff,classic [4] yep,yep [4] first,time [3] cant,see [3] wall,street Top Word Pairs in Tweet in G9:
[30] washingtonpost,nytimes [30] reuters,business [30] ap,bbc [30] bbc,cnbc [30] cnbc,cnn [30] msnbc,thehill [30] thehill,amermedicalassn [29] nytimes,financialtimes [29] financialtimes,wsjhealth [29] business,ap Top Word Pairs in Tweet in G10:
[6] chdornellas,gdarmanin [5] bandit_acog,digitalganon [3] cpeillan,chdornellas [2] hundertezhai,stiefgott [2] xxxxzeroxxx,drecksuser [2] gott,sei [2] sei,dank [2] kleinereuro,einfachpaprika [2] manitofighh,elonmusk [2] elonmusk,ayo 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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