The graph represents a network of 6,219 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 Sunday, 07 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, 4-hour, 22-minute period from Friday, 22 January 2021 at 20:36 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 : 6219
Unique Edges : 6490
Edges With Duplicates : 12714
Total Edges : 19204
Number of Edge Types : 5
Replies to : 2398
Retweet : 3499
MentionsInRetweet : 5879
Tweet : 1598
Mentions : 5830
Self-Loops : 1617
Reciprocated Vertex Pair Ratio : 0.0469663160131761
Reciprocated Edge Ratio : 0.0897188673500457
Connected Components : 839
Single-Vertex Connected Components : 374
Maximum Vertices in a Connected Component : 3465
Maximum Edges in a Connected Component : 15075
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 3.808535
Graph Density : 0.000254798700234411
Modularity : 0.404243
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,219 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 Sunday, 07 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, 4-hour, 22-minute period from Friday, 22 January 2021 at 20:36 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:
[345] pregnant,individuals [313] #covidvaccine,acog [311] recommendations,pregnant [311] acog,continues [310] breaking,quickly [310] quickly,revised [310] revised,recommendations [310] individuals,receiving [310] receiving,#covidvaccine [309] acog,breaking Top Word Pairs in Tweet in G2:
[319] acog,mysmfm [248] pregnant,individuals [141] #covidvaccine,acog [140] recommendations,pregnant [139] acog,breaking [139] breaking,quickly [139] quickly,revised [139] revised,recommendations [139] individuals,receiving [139] receiving,#covidvaccine Top Word Pairs in Tweet in G3:
[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 G4:
[20] acog_geek4ever,vaidesmaiar [19] bom,dia [14] acog_geek4ever,eu [13] cã,mara [12] eu,nã [12] karol,conkã [10] #bbb21,#redebbb [10] ao,vivo [9] mais,uma [9] vaidesmaiar,eu Top Word Pairs in Tweet in G5:
[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 G6:
[79] maternal,health [50] awareness,day [47] health,care [43] care,professionals [36] health,awareness [36] sc,obstetrics [36] obstetrics,gynecology [36] gynecology,providers [36] providers,acog [36] acog,sc Top Word Pairs in Tweet in G7:
[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 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:
[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 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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