The graph represents a network of 5,775 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 February 2021 at 15:14 UTC.
The requested start date was Friday, 19 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 17-day, 11-hour, 27-minute period from Monday, 01 February 2021 at 13:33 UTC to Friday, 19 February 2021 at 01:00 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 : 5775
Unique Edges : 5951
Edges With Duplicates : 10955
Total Edges : 16906
Number of Edge Types : 5
Retweet : 2788
MentionsInRetweet : 4413
Tweet : 2245
Replies to : 2813
Mentions : 4647
Self-Loops : 2272
Reciprocated Vertex Pair Ratio : 0.0522934601053578
Reciprocated Edge Ratio : 0.0993894993894994
Connected Components : 988
Single-Vertex Connected Components : 469
Maximum Vertices in a Connected Component : 2723
Maximum Edges in a Connected Component : 9415
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.36686
Graph Density : 0.000245615139969141
Modularity : 0.435986
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,775 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 February 2021 at 15:14 UTC.
The requested start date was Friday, 19 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 17-day, 11-hour, 27-minute period from Monday, 01 February 2021 at 13:33 UTC to Friday, 19 February 2021 at 01:00 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:
[477] ãƒ,ム[182] covid,19 [156] pregnant,women [146] trijicon,acog [130] acog,mysmfm [108] #medicaid,coverage [107] extend,postpartum [106] postpartum,#medicaid [106] coverage,12 [104] fast,track Top Word Pairs in Tweet in G1:
[99] acog,mysmfm [94] pregnant,women [83] pregnant,people [79] covid,19 [72] pregnant,individuals [69] loss,fertility [68] evidence,#covidvaccine [68] #covidvaccine,lead [68] lead,loss [67] fertility,experts Top Word Pairs in Tweet in G2:
[35] eu,não [24] esse,povo [23] #redebbb,#bbb21 [20] acog_geek4ever,eu [17] karol,paredão [16] ao,vivo [16] uma,pessoa [16] bom,dia [16] camilamiran87,acog_geek4ever [15] paredão,karol Top Word Pairs in Tweet in G3:
[83] ãƒ,ム[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 [23] ak47には,acogサイトつけない方がカッコいいよね [18] µã,トã [14] pregnant,women [11] ì,ì [10] acogã,µã [10] covid,19 [10] 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 [10] #質問箱,#匿名質問募集中 Top Word Pairs in Tweet in G4:
[80] valk,acog [58] love,way [58] way,valk [58] acog,feels [57] coconutbrah,love [25] coconutbrah,rainbow6game [24] need,help [24] help,creating [24] creating,youtube [24] youtube,video Top Word Pairs in Tweet in G5:
[10] gt,gt [8] valentines,day [7] release,multiplayer [7] multiplayer,mw2 [7] mw2,remastered [6] remastered,release [6] 13,years [6] years,old [4] gas,station [4] holy,shit Top Word Pairs in Tweet in G6:
[81] #medicaid,coverage [81] coverage,12 [80] fast,track [78] breaking,house [78] house,energycommerce [78] energycommerce,proposing [78] proposing,fast [78] track,bipartisan [78] bipartisan,policy [78] policy,extend Top Word Pairs in Tweet in G7:
[19] acog,ameracadpeds [15] womxnshc,whc [15] whc,womxn [15] womxn,week [15] week,#whcwow [15] #whcwow,please [15] please,meet [15] meet,amplify [15] amplify,dr [15] dr,sarah Top Word Pairs in Tweet in G8:
[6] scan,#qrcode [6] #qrcode,hear [6] hear,talk [6] talk,#anemia [6] #anemia,welcome [6] welcome,#worldcongressofanemia [6] #worldcongressofanemia,10th [6] 10th,april [6] april,2021 [6] 2021,first Top Word Pairs in Tweet in G9:
[22] damienrieu,kmbappe [22] bandit_acog,gregoryroose [14] bandit_acog,smolgator [13] markrentonn123,gregoryroose [12] biaziouka,gregoryroose [11] bandit_acog,damienrieu [10] ed09eddy,markrentonn123 [8] peronnongrt1,damienrieu [6] chdornellas,gdarmanin [6] bandit_acog,peronnongrt1 Top Word Pairs in Tweet in G10:
[8] pregnant,women [5] alexberenson,acog [4] drpoppybhrt,alexberenson [4] acog,smfm [4] kevinault,acog [4] uwashobgyn,acog [3] covid,19 [3] drpoppybhrt,acog [3] crabb_vicki,reviewing [3] reviewing,actual Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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: