The graph represents a network of 5,008 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, 15 February 2020 at 05:55 UTC.
The requested start date was Saturday, 15 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 6-hour, 45-minute period from Thursday, 06 February 2020 at 12:36 UTC to Friday, 14 February 2020 at 19:22 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 : 5008
Unique Edges : 6302
Edges With Duplicates : 2456
Total Edges : 8758
Number of Edge Types : 4
Mentions : 2381
MentionsInRetweet : 3409
Replies to : 1627
Tweet : 1341
Self-Loops : 1341
Reciprocated Vertex Pair Ratio : 0.0406768073833533
Reciprocated Edge Ratio : 0.0781737559533585
Connected Components : 1006
Single-Vertex Connected Components : 499
Maximum Vertices in a Connected Component : 1227
Maximum Edges in a Connected Component : 2901
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.23928
Graph Density : 0.000242830963169135
Modularity : 0.66036
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,008 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, 15 February 2020 at 05:55 UTC.
The requested start date was Saturday, 15 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 6-hour, 45-minute period from Thursday, 06 February 2020 at 12:36 UTC to Friday, 14 February 2020 at 19:22 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:
[554] yourself,acog [554] acog,course [553] hey,yourself [553] course,doesn [553] doesn,february [553] february,14th [553] 14th,follow [553] follow,youtooz [553] youtooz,chance [552] anthonypit1,hey Top Word Pairs in Tweet in G1:
[551] hey,yourself [551] yourself,acog [551] acog,course [551] course,doesn [551] doesn,february [551] february,14th [551] 14th,follow [551] follow,youtooz [551] youtooz,chance [550] anthonypit1,hey Top Word Pairs in Tweet in G2:
[56] acog,acog [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 [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] ak47には,acogサイトつけない方がカッコいいよね [7] ash,acog [6] maestro,acog [6] andalucía,pueblos [6] pueblos,andalucía [6] andalucía,preciosa Top Word Pairs in Tweet in G3:
[36] mysmfm,acog [29] pregnant,women [22] leading,cause [22] cause,death [20] educate,patients [20] private,insurance [20] insurance,received [20] those,medicaid [19] during,pregnancy [19] health,policy Top Word Pairs in Tweet in G4:
[57] acog,r4c [55] took,acog [54] ubi,took [54] r4c,replace [54] replace,glaz [54] glaz,scope [54] scope,y5 [54] shbzz,ubi [24] acog,back [16] give,acog Top Word Pairs in Tweet in G5:
[203] louisiana,number [203] number,one [203] one,cause [203] cause,death [203] death,pregnant [203] pregnant,women [203] women,isn [203] isn,obstetric [203] obstetric,hemorrhage [203] hemorrhage,preeclampsia Top Word Pairs in Tweet in G6:
[12] eu,não [8] brunnosarttori,g1 [8] ele,não [8] decarapralua,eu [7] pra,mim [7] #redebbb,#bbb20 [7] acog_geek4ever,adrillesrjorge [7] acog_geek4ever,decarapralua [6] pra,quem [5] uma,coisa Top Word Pairs in Tweet in G7:
[114] karzan35o2,luvrbre [114] luvrbre,bruh [114] bruh,use [114] use,psn [114] psn,bestfriend [114] bestfriend,logged [114] logged,one [114] one,night [114] night,haven [114] haven,heard Top Word Pairs in Tweet in G8:
[20] acog,amermedicalassn [16] washingtonpost,nytimes [16] nytimes,ap [16] ap,bbc [16] bbc,cnn [15] #health,#healthcare [14] #healthcare,acog [14] amermedicalassn,financialtimes [14] thehill,thetimes [13] financialtimes,reuters Top Word Pairs in Tweet in G9:
[4] modern,warfare [4] white,people [4] go,help [3] walking,down [3] down,street [2] atheists,taking [2] taking,gramgram [2] gramgram,walk [2] walk,morning [2] addicted,tik Top Word Pairs in Tweet in G10:
[6] acog,reaper [6] tsm,vs [6] six,invitational [5] darkzerogg,acog [4] 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 [4] こんな質問に答えてるよ,自分のゲームに関する自慢を一つ [4] 自分のゲームに関する自慢を一つ,アカウント名の由来は [4] アカウント名の由来は,あなたとやるのが1番楽 [4] あなたとやるのが1番楽,人の口癖見つけるとなんか面白く [4] 人の口癖見つけるとなんか面白く,#質問箱 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: