The graph represents a network of 4,695 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, 21 March 2020 at 04:20 UTC.
The requested start date was Saturday, 21 March 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 7-day, 5-hour, 47-minute period from Friday, 13 March 2020 at 02:11 UTC to Friday, 20 March 2020 at 07:58 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 : 4695
Unique Edges : 6207
Edges With Duplicates : 3042
Total Edges : 9249
Number of Edge Types : 4
MentionsInRetweet : 3962
Tweet : 1222
Replies to : 1371
Mentions : 2694
Self-Loops : 1222
Reciprocated Vertex Pair Ratio : 0.033311345646438
Reciprocated Edge Ratio : 0.0644749441429939
Connected Components : 783
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 1721
Maximum Edges in a Connected Component : 4773
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.188676
Graph Density : 0.000284322813933724
Modularity : 0.61657
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,695 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, 21 March 2020 at 04:20 UTC.
The requested start date was Saturday, 21 March 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 7-day, 5-hour, 47-minute period from Friday, 13 March 2020 at 02:11 UTC to Friday, 20 March 2020 at 07:58 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:
[402] abortion,essential [392] essential,component [390] medical,community [390] released,statement [389] official,medical [389] community,released [389] statement,today [389] today,saying [389] saying,abortion [388] obianuju,official Top Word Pairs in Tweet in G1:
[126] joint,statement [100] acog,mysmfm [84] covid,19 [79] performed,obstetrician [78] pregnant,women [73] released,joint [73] statement,outlining [73] outlining,recommendations [73] recommendations,specific [73] specific,surgical Top Word Pairs in Tweet in G2:
[387] official,medical [387] medical,community [387] community,released [387] released,statement [387] statement,today [387] today,saying [387] saying,abortion [387] abortion,essential [387] essential,component [386] obianuju,official Top Word Pairs in Tweet in G3:
[12] acogはいつまでも使えるものだと思っていた,だが違った [11] 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 [8] ak47には,acogサイトつけない方がカッコいいよね [5] pregnant,women [5] 主観的武器評価,fal [5] fal,唯一のセミオートａｒ [5] 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 [5] 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 Top Word Pairs in Tweet in G4:
[331] breaking,#trudeau [331] #trudeau,wife [331] wife,tests [331] tests,positive [331] positive,#coronavirus [331] #coronavirus,#canada's [331] #canada's,pm [331] pm,symptoms [331] symptoms,remain [331] remain,self Top Word Pairs in Tweet in G5:
[13] marcos_flanders,krolquintana [11] ao,vivo [11] acog_geek4ever,marcos_flanders [10] sra_jufernandes,decarapralua [10] #bbb20,bbb [9] lg_silvafilho,prioligabriela [9] covid,19 [9] lg_silvafilho,marcos_flanders [8] eu,não [8] em,casa Top Word Pairs in Tweet in G6:
[22] elite,skin [21] guys,shaking [21] shaking,never [21] never,wanted [21] wanted,breed [21] breed,anyone [21] anyone,more [21] more,ashes' [21] ashes',elite [21] skin,perfect Top Word Pairs in Tweet in G7:
[132] みんな,cqbではサイト使わない [132] cqbではサイト使わない,ノン [132] ノン,サイト [132] サイト,射撃っていうのが普通らしいぞ [132] 射撃っていうのが普通らしいぞ,特殊部隊 [132] 特殊部隊,棒 [132] 棒,はacog乗せた20インチの [132] はacog乗せた20インチの,m16a4で壁越しに弾を貫通させて掃討するみたいだ [132] m16a4で壁越しに弾を貫通させて掃討するみたいだ,みんなテクニック磨こうな [131] sdynami9,みんな Top Word Pairs in Tweet in G8:
[93] absteward,thelancetinfdis [93] pregnant,women [90] sars,cov [89] thelancetinfdis,uptodated [89] uptodated,guidelines [89] guidelines,pregnant [89] women,suspected [89] suspected,sars [89] cov,exposure [89] exposure,proposed Top Word Pairs in Tweet in G9:
[8] toilet,paper [6] tested,positive [4] call,duty [4] positive,having [4] companies,care [4] day,quarantine [3] healthcare,system [2] way,airport [2] airport,quarantine [2] quarantine,lifts Top Word Pairs in Tweet in G10:
[61] emmanuel,macron [61] macron,annoncera [61] annoncera,ce [61] ce,soir [61] soir,retour [61] retour,acog [61] acog,jäger [60] skybuulbv,emmanuel [24] love,oryx [24] oryx,cancel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: