The graph represents a network of 6,977 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, 01 October 2021 at 14:04 UTC.
The requested start date was Friday, 01 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 6-hour, 24-minute period from Tuesday, 07 September 2021 at 17:30 UTC to Thursday, 30 September 2021 at 23:55 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 : 6977
Unique Edges : 7450
Edges With Duplicates : 13025
Total Edges : 20475
Number of Edge Types : 5
Replies to : 2688
Mentions : 8028
Retweet : 2976
MentionsInRetweet : 4943
Tweet : 1840
Self-Loops : 1888
Reciprocated Vertex Pair Ratio : 0.0431726907630522
Reciprocated Edge Ratio : 0.082771896053898
Connected Components : 1010
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 3596
Maximum Edges in a Connected Component : 15023
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.806738
Graph Density : 0.000213471721633204
Modularity : 0.450236
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,977 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, 01 October 2021 at 14:04 UTC.
The requested start date was Friday, 01 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 6-hour, 24-minute period from Tuesday, 07 September 2021 at 17:30 UTC to Thursday, 30 September 2021 at 23:55 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:
[212] acog,mysmfm [188] covid,19 [175] pregnant,women [169] trijicon,acog [156] cdcgov,acog [119] obstetricians,gynecologists [112] college,obstetricians [104] american,college [99] washingtonpost,nytimes [97] acog,healthnygov Top Word Pairs in Tweet in G1:
[186] acog,mysmfm [148] cdcgov,acog [106] covid,19 [97] acog,healthnygov [97] twitter,chat [96] govkathyhochul,cdcgov [93] awareness,month [77] fasd,awareness [74] abortion,ban [72] mysmfm,cdcgov Top Word Pairs in Tweet in G2:
[37] acogはいつまでも使えるものだと思っていた,だが違った [29] ak47には,acogサイトつけない方がカッコいいよね [12] covid,19 [11] trijicon,acog [11] 主観的武器評価,fal [11] fal,唯一のセミオートａｒ [11] 唯一のセミオートａｒ,音とリロードモーションがカコイイ [11] 音とリロードモーションがカコイイ,ホロサイトを付けるとなんか強くなるらしい [11] ホロサイトを付けるとなんか強くなるらしい,ａｃｏｇ付けたくなる気持ちはわかるけど [11] ａｃｏｇ付けたくなる気持ちはわかるけど,元の反動が結構強いから Top Word Pairs in Tweet in G3:
[54] lozierinstitute,acog [43] acog,cites [42] 24,weeks [39] dr,derbyshire [39] pro,choice [38] pain,until [38] until,24 [38] derbyshire,pro [38] choice,neuroscientist [38] neuroscientist,whose Top Word Pairs in Tweet in G4:
[22] call,duty [8] years,ago [7] duty,vanguard [7] never,fucked [6] omg,omg [6] gt,gt [4] early,access [4] being,mean [4] worth,doing [4] trying,explain Top Word Pairs in Tweet in G5:
[99] washingtonpost,nytimes [93] msnbc,thehill [92] ap,bbc [91] nytimes,financialtimes [80] wsjhealth,reuters [70] financialtimes,wsjhealth [70] cnn,msn [70] msn,msnbc [59] bbc,cnn [53] thehill,acog Top Word Pairs in Tweet in G6:
[12] bom,dia [11] innistrad,caçada [11] caçada,meia [11] meia,noite [10] krolquintana,camilamiran87 [9] acog_geek4ever,eu [9] chega,mais [8] ana85soares,rolealeatorio [7] dia_planinauta,beturba [7] ao,vivo Top Word Pairs in Tweet in G7:
[22] remove,acog [22] acog,doc [22] doc,speed [22] speed,worst [22] worst,utility [22] utility,game [22] game,give [22] give,mozzie [21] get_flanked,remove [9] doc,acog Top Word Pairs in Tweet in G8:
[45] rsly78,reitedich [19] trabuuu_u,rsly78 [19] yeriqa78,acog_is_cute [17] acog_is_cute,trabuuu_u [16] acog_is_cute,rsly78 [12] trabuuu_u,reitedich [8] trabuuu_u,yeriqa78 [8] acog_is_cute,collectingcum [7] yeriqa78,rsly78 [7] acog_is_cute,reitedich Top Word Pairs in Tweet in G9:
[25] covid,19 [15] spontaneous,abortion [14] abortion,following [14] following,covid [13] #mrna,#covid19 [11] acog,idsog_org [10] receipt,#mrna [10] #covid19,#vaccines [10] #vaccines,risk [10] risk,#spontaneous Top Word Pairs in Tweet in G10:
[46] acog,asco [45] jsexmed,acog [42] drrachelrubin,jsexmed [30] sayin,#treatsexualdysfunction [30] #treatsexualdysfunction,drrachelrubin [29] kristinrojasmd,sayin [10] breast,cancer [6] vaginal,estrogen [6] katemeriwether1,cheryliglesia [6] drjengunter,mamadoctorjones Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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: