The graph represents a network of 6,229 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 Saturday, 06 February 2021 at 15:15 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, 5-hour, 57-minute period from Friday, 22 January 2021 at 19:01 UTC to Friday, 05 February 2021 at 00:59 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 : 6229
Unique Edges : 6499
Edges With Duplicates : 12704
Total Edges : 19203
Number of Edge Types : 5
Replies to : 2402
Retweet : 3498
MentionsInRetweet : 5882
Tweet : 1585
Mentions : 5836
Self-Loops : 1604
Reciprocated Vertex Pair Ratio : 0.0467755621552821
Reciprocated Edge Ratio : 0.0893707569155943
Connected Components : 838
Single-Vertex Connected Components : 373
Maximum Vertices in a Connected Component : 3473
Maximum Edges in a Connected Component : 15073
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 3.808623
Graph Density : 0.000254393619336823
Modularity : 0.428127
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,229 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 Saturday, 06 February 2021 at 15:15 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, 5-hour, 57-minute period from Friday, 22 January 2021 at 19:01 UTC to Friday, 05 February 2021 at 00:59 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:
[938] ãƒ,ム[669] pregnant,individuals [480] #covidvaccine,acog [477] acog,continues [476] recommendations,pregnant [474] breaking,quickly [474] quickly,revised [474] revised,recommendations [474] individuals,receiving [474] receiving,#covidvaccine Top Word Pairs in Tweet in G1:
[582] pregnant,individuals [448] #covidvaccine,acog [445] recommendations,pregnant [444] acog,continues [443] breaking,quickly [443] quickly,revised [443] revised,recommendations [443] individuals,receiving [443] receiving,#covidvaccine [442] acog,breaking Top Word Pairs in Tweet in G2:
[210] ãƒ,ム[32] µã,トã [16] ãƒ,µã [16] ªã,æ [16] acogã,µã [13] æ,œã [13] acogはいつまでも使えるものだと思っていた,だが違った [12] リãƒ,ム[12] ì,ì [12] ˆã,æ Top Word Pairs in Tweet in G3:
[20] acog_geek4ever,vaidesmaiar [19] bom,dia [14] acog_geek4ever,eu [13] cã,mara [12] eu,nã [12] karol,conkã [10] #bbb21,#redebbb [9] mais,uma [9] #redebbb,#bbb21 [8] arthur,lira Top Word Pairs in Tweet in G4:
[227] ãƒ,ム[137] æž,ç [135] åž,ム[119] 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 [118] ayako700,すごい [110] æ,ÿã [110] œå,šã [110] ãƒ,åˆ [105] ãƒ,æ [105] œã,ªã Top Word Pairs in Tweet in G5:
[79] maternal,health [50] awareness,day [47] health,care [43] care,professionals [39] sc,obstetrics [39] obstetrics,gynecology [39] gynecology,providers [39] providers,acog [39] acog,sc [39] sc,support Top Word Pairs in Tweet in G6:
[33] bosg,acog [12] acog,back [7] bring,back [6] jager,acog [6] lost,acog [5] ash,acog [5] patgobrrr,bikinibodhi [5] r4c,acog [5] acog,bosg [5] hixcap,bikinibodhi Top Word Pairs in Tweet in G7:
[8] call,duty [8] gt,gt [7] release,multiplayer [7] multiplayer,mw2 [7] mw2,remastered [6] mental,health [6] remastered,release [4] deshaun,watson [4] duty,league [4] kickoff,classic Top Word Pairs in Tweet in G8:
[21] washingtonpost,nytimes [21] nytimes,financialtimes [20] financialtimes,wsjhealth [20] reuters,business [20] business,ap [20] ap,bbc [20] bbc,cnbc [20] cnbc,cnn [20] cnn,msn [20] msn,msnbc Top Word Pairs in Tweet in G9:
[36] moms,protect [36] protect,newborn [36] newborn,babies [36] babies,#covid19 [36] #covid19,having [36] having,antibodies [36] antibodies,virus [36] virus,another [36] another,potential [36] potential,argument Top Word Pairs in Tweet in G10:
[19] thank,acog [18] acog,constant [18] constant,question [18] question,women [18] women,during [18] during,#covid19 [18] #covid19,appreciate [18] appreciate,providing [18] providing,guidance [17] drfna,thank 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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