The graph represents a network of 5,199 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, 10 July 2020 at 13:44 UTC.
The requested start date was Friday, 10 July 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 12-day, 13-hour, 0-minute period from Saturday, 27 June 2020 at 10:58 UTC to Thursday, 09 July 2020 at 23:59 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 : 5199
Unique Edges : 4894
Edges With Duplicates : 6562
Total Edges : 11456
Number of Edge Types : 5
Replies to : 1572
Mentions : 2865
Retweet : 2099
MentionsInRetweet : 3392
Tweet : 1528
Self-Loops : 1552
Reciprocated Vertex Pair Ratio : 0.0354981187632913
Reciprocated Edge Ratio : 0.0685624012638231
Connected Components : 1103
Single-Vertex Connected Components : 516
Maximum Vertices in a Connected Component : 1810
Maximum Edges in a Connected Component : 5985
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.41622
Graph Density : 0.000234232750090085
Modularity : 0.523456
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,199 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, 10 July 2020 at 13:44 UTC.
The requested start date was Friday, 10 July 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 12-day, 13-hour, 0-minute period from Saturday, 27 June 2020 at 10:58 UTC to Thursday, 09 July 2020 at 23:59 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:
[336] jk_rowling,gynecologist [336] gynecologist,much [336] much,misinformation [336] misinformation,disinformation [336] disinformation,thread [336] thread,link [335] drjengunter,jk_rowling [114] 日本のエライ方々へ,緊急避妊薬 [114] 緊急避妊薬,#アフターピル [114] #アフターピル,を薬局で薬剤師さんから買えるように Top Word Pairs in Tweet in G1:
[17] acogはいつまでも使えるものだと思っていた,だが違った [14] ak47には,acogサイトつけない方がカッコいいよね [13] gt,gt [12] 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 [12] #質問箱,#匿名質問募集中 [9] acog,back [8] サイト辞典,acog [8] acog,アドバンスド [8] アドバンスド,コンバット [8] コンバット,オプティカル Top Word Pairs in Tweet in G2:
[51] saw,scotus [51] scotus,decision [51] decision,yesterday [51] yesterday,obstetricians [51] obstetricians,gynecologic [51] gynecologic,surgeons [51] surgeons,contend [50] jfitzgeraldmd,saw [50] contend,pr [22] learn,more Top Word Pairs in Tweet in G3:
[51] #scotus,decision [40] acog,#obgyns [38] health,care [38] decision,#junemedical [36] today,acog [36] #obgyns,nationwide [36] nationwide,celebrate [36] celebrate,#scotus [36] #junemedical,services [36] services,llc Top Word Pairs in Tweet in G4:
[335] jk_rowling,gynecologist [335] gynecologist,much [335] much,misinformation [335] misinformation,disinformation [335] disinformation,thread [335] thread,link [334] drjengunter,jk_rowling [2] jk_rowling,stop [2] stop,spreading [2] spreading,uniformed Top Word Pairs in Tweet in G5:
[26] minecraft,frog [24] frog,minecraft [8] know,spot [6] girls,know [4] make,nigga [4] black,dominican [4] years,old [4] white,woman [4] 10,year [4] year,old Top Word Pairs in Tweet in G6:
[13] remove,acog [12] bosg,acog [12] long,range [10] iq,acog [10] acog,back [9] thegodlynoob,iq [9] acog,hitbox [9] hitbox,fucked [9] fucked,completely [9] completely,fucked Top Word Pairs in Tweet in G7:
[114] 日本のエライ方々へ,緊急避妊薬 [114] 緊急避妊薬,#アフターピル [114] #アフターピル,を薬局で薬剤師さんから買えるように [114] を薬局で薬剤師さんから買えるように,ってのは遠見さんの主張ではなくてwhoやfigo [114] ってのは遠見さんの主張ではなくてwhoやfigo,国際産婦人科連合 [114] 国際産婦人科連合,やacog [114] やacog,アメリカ産婦人科学会 [114] アメリカ産婦人科学会,やら世界中が当たり前に推奨してることなのですよー [113] emmi__chan,日本のエライ方々へ [113] やら世界中が当たり前に推奨してることなのですよー,意図し Top Word Pairs in Tweet in G8:
[65] g36という超かっこいい鉄砲についているヘンゾルト製の照準器を紹介している動画がうpされています,acogめっちゃきれいなんですね [64] southwood_,g36という超かっこいい鉄砲についているヘンゾルト製の照準器を紹介している動画がうpされています [18] southwood_,僕もacogとg36の照準器の中身だけ持っているので見比べて見ましたけどぜんぜん違いますね [10] 自分のブログでも紹介したのですが,spectre [10] spectre,dr [10] dr,リューポルドmk6 [10] リューポルドmk6,acog [10] acog,ta11を比べたら一番鮮明に見えたのがacogだったと言う事実 [9] マルイmwsベースのm16a4に最高性能のレプacog,これ以上のgbbm16はなかなかねえぞ [9] これ以上のgbbm16はなかなかねえぞ,自己満 Top Word Pairs in Tweet in G9:
[8] smolspaghet,g2pengu [8] angled,acog [8] smg,11 [7] mrodmma,mp7 [6] smolspaghet,get_flanked [6] without,acog [6] mp7,acog [6] siege_haven,g2pengu [4] using,acog [4] removing,acog Top Word Pairs in Tweet in G10:
[6] não,tem [6] #austriangp,#f1 [5] vídeo,game [5] acog_geek4ever,eujuniorm [5] são,paulo [5] acog_geek4ever,ricardoeletro [4] bom,dia [4] time,tem [4] brota,familia [4] pré,lançamento 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 G4:
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: