The graph represents a network of 6,712 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, 19 November 2021 at 15:03 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 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, 7-hour, 30-minute period from Monday, 25 October 2021 at 17:09 UTC to Friday, 19 November 2021 at 00:39 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 : 6712
Unique Edges : 9157
Edges With Duplicates : 10267
Total Edges : 19424
Number of Edge Types : 5
Mentions : 9604
Tweet : 2074
Retweet : 2304
MentionsInRetweet : 3443
Replies to : 1999
Self-Loops : 2122
Reciprocated Vertex Pair Ratio : 0.0328490793004534
Reciprocated Edge Ratio : 0.0636086722809532
Connected Components : 956
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 2668
Maximum Edges in a Connected Component : 10506
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.453829
Graph Density : 0.000247800872706632
Modularity : 0.519818
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,712 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, 19 November 2021 at 15:03 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 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, 7-hour, 30-minute period from Monday, 25 October 2021 at 17:09 UTC to Friday, 19 November 2021 at 00:39 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:
[1699] trijicon,acog [1668] super,duty [1666] geissele,super [1638] duty,rifle [1635] rifle,trijicon [1635] acog,4x32 [1629] win,geissele [1627] 4x32,scope [1245] entered,win [1243] scope,classicfirearm Top Word Pairs in Tweet in G1:
[1597] super,duty [1595] geissele,super [1569] duty,rifle [1565] rifle,trijicon [1561] trijicon,acog [1560] win,geissele [1558] acog,4x32 [1558] 4x32,scope [1243] scope,classicfirearm [1242] classicfirearm,valued Top Word Pairs in Tweet in G2:
[130] pregnant,people [128] covid,19 [115] recently,pregnant [114] people,receive [104] acog,acog [90] pregnant,recently [83] acog,recommends [82] receive,available [78] recommends,pregnant [76] 19,booster Top Word Pairs in Tweet in G3:
[108] ãƒ,ム[59] trijicon,acog [57] acog,acog [56] acog,4x32 [52] win,geissele [52] geissele,super [52] super,duty [52] duty,rifle [52] rifle,trijicon [52] 4x32,scope Top Word Pairs in Tweet in G4:
[19] oh,yeah [16] call,duty [8] happy,birthday [7] required,space [6] gb,download [6] first,time [5] gb,required [5] optic,texas [4] vanguard,multiplayer [4] yes,someone Top Word Pairs in Tweet in G5:
[141] w_acog,nothxo5xx3 [76] elliottvinter,w_acog [40] luckystrixxer,elliottvinter [29] tomthegenius64,w_acog [16] bunderscoremon,w_acog [14] geneslurper,elliottvinter [12] geneslurper,luckystrixxer [11] creativebod1,elliottvinter [10] m_blazi,tomthegenius64 [9] spider,man Top Word Pairs in Tweet in G6:
[12] acog,women [12] women,deserve [12] deserve,pain [12] pain,relief [12] relief,treated [12] treated,humanely [11] fix,acog [8] exposing,acog [8] population,control [8] control,enthusiasts Top Word Pairs in Tweet in G7:
[19] bosg,acog [9] bring,back [6] mp5,acog [6] acog,back [6] back,acog [6] kagebunny,logskiii [6] logskiii,mrpulse007 [6] mrpulse007,varsitygamingtv [5] rainbow6game,acog [5] acog,guy Top Word Pairs in Tweet in G8:
[67] msnbc,thehill [66] washingtonpost,nytimes [66] nytimes,financialtimes [66] ap,bbc [64] reuters,business [64] business,ap [61] financialtimes,wsjhealth [55] bbc,cnn [48] thehill,acog [48] amermedicalassn,cdcgov Top Word Pairs in Tweet in G9:
[52] sig,sg [51] trijicon,acog [48] sg,553 [48] 553,lb [43] training,exercise [40] lb,trijicon [36] #exercise_yudh_abhyas,indian [36] indian,army [36] army,soldier [36] soldier,american Top Word Pairs in Tweet in G10:
[9] dia_planinauta,feltrinoficial [7] acog_geek4ever,riul69 [6] pra,quem [5] em,uma [5] uma,boa [5] wizards_magicbr,xplaceoficial [5] riul69,dia_planinauta [4] innistrad,crimson [4] crimson,vow [4] bom,dia 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: