The graph represents a network of 6,841 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, 08 October 2021 at 14:06 UTC.
The requested start date was Friday, 08 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 24-day, 13-hour, 5-minute period from Monday, 13 September 2021 at 10:45 UTC to Thursday, 07 October 2021 at 23:51 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 : 6841
Unique Edges : 7097
Edges With Duplicates : 13128
Total Edges : 20225
Number of Edge Types : 5
Retweet : 3176
MentionsInRetweet : 4984
Tweet : 2028
Mentions : 7644
Replies to : 2393
Self-Loops : 2090
Reciprocated Vertex Pair Ratio : 0.0416925305193462
Reciprocated Edge Ratio : 0.0800476710696196
Connected Components : 995
Single-Vertex Connected Components : 420
Maximum Vertices in a Connected Component : 3678
Maximum Edges in a Connected Component : 15158
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.544117
Graph Density : 0.000215184333195704
Modularity : 0.446102
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,841 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, 08 October 2021 at 14:06 UTC.
The requested start date was Friday, 08 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 24-day, 13-hour, 5-minute period from Monday, 13 September 2021 at 10:45 UTC to Thursday, 07 October 2021 at 23:51 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:
[226] cdcgov,acog [180] trijicon,acog [171] covid,19 [171] acog,mysmfm [154] pregnant,women [128] acog,healthnygov [127] govkathyhochul,cdcgov [106] #covid19,vaccination [105] washingtonpost,nytimes [102] obstetricians,gynecologists Top Word Pairs in Tweet in G1:
[211] cdcgov,acog [151] acog,mysmfm [128] acog,healthnygov [127] govkathyhochul,cdcgov [115] covid,19 [103] #covid19,vaccination [76] pregnant,people [63] pregnant,persons [60] #obgyns,working [60] working,hard Top Word Pairs in Tweet in G2:
[19] call,duty [10] squid,game [9] battlefield,2042 [8] halo,infinite [8] years,ago [7] never,fucked [6] last,night [6] omg,omg [6] gt,gt [5] 10,years Top Word Pairs in Tweet in G3:
[39] acogはいつまでも使えるものだと思っていた,だが違った [31] ak47には,acogサイトつけない方がカッコいいよね [12] 主観的武器評価,fal [12] fal,唯一のセミオートａｒ [12] 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 [12] 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 [12] 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 [12] 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 [12] 元の反動が結構強いから,ω [12] ω,すんってな感じになる Top Word Pairs in Tweet in G4:
[32] xan_desanctis,acog [28] chauhan69420,xan_desanctis [16] obstetricians,gynecologists [15] abortion,healthcare [13] acog,rcog [13] 24,weeks [13] rcog,acog [12] pfamilygal,chauhan69420 [9] american,college [9] college,obstetricians Top Word Pairs in Tweet in G5:
[44] jsexmed,acog [44] acog,asco [41] drrachelrubin,jsexmed [29] sayin,#treatsexualdysfunction [29] #treatsexualdysfunction,drrachelrubin [29] 25,medical [29] medical,orgs [28] kristinrojasmd,sayin [28] abortion,ban [27] strike,down Top Word Pairs in Tweet in G6:
[10] krolquintana,camilamiran87 [9] chega,mais [9] bom,dia [8] não,tem [8] ana85soares,rolealeatorio [7] magic,gathering [7] innistrad,caçada [7] caçada,meia [7] meia,noite [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 [10] doc,acog Top Word Pairs in Tweet in G8:
[29] #サバゲーマーさんと繋がりたい,#愛銃晒すとサバゲーマーがフォローやrtをしてくれるらしい [28] #愛銃晒すとサバゲーマーがフォローやrtをしてくれるらしい,#サバゲーマーと繋がりたい [28] trijicon,acog [27] 89式小銃にａｃｏｇ乗せるのも良いですよね,スタッフも私物でやってます [26] selecthobby,#サバゲーマーさんと繋がりたい [26] selecthobby,89式小銃にａｃｏｇ乗せるのも良いですよね [26] southwood_,中国のqbz191という鉄砲に載っているqmk171aというスコープのレチクルがacogみたいでかっこいいです [24] mk,12sprで800m近くの交戦でバシバシ仕留めた話も普通に聞くし [24] 12sprで800m近くの交戦でバシバシ仕留めた話も普通に聞くし,ぬっ [24] ぬっ,すだけなら200mは特別な銃を用意しなくてもacog乗せたm4でもいけるっしょ Top Word Pairs in Tweet in G9:
[101] washingtonpost,nytimes [95] nytimes,financialtimes [89] msnbc,thehill [87] ap,bbc [80] wsjhealth,reuters [74] financialtimes,wsjhealth [73] bbc,cnn [61] acog,amermedicalassn [60] thehill,acog [58] amermedicalassn,cdcgov Top Word Pairs in Tweet in G10:
[11] #free,sites [11] sites,search [11] search,open [11] open,residency [11] residency,spots [11] spots,obgyn [11] obgyn,surg [11] surg,uro [11] open,houses [11] houses,saturday 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: