The graph represents a network of 6,426 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, 22 April 2022 at 14:01 UTC.
The requested start date was Friday, 22 April 2022 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 16-day, 4-hour, 48-minute period from Tuesday, 05 April 2022 at 19:10 UTC to Thursday, 21 April 2022 at 23:58 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 : 6426
Unique Edges : 8462
Edges With Duplicates : 10133
Total Edges : 18595
Number of Edge Types : 5
Replies to : 2310
Mentions : 9275
Retweet : 2098
MentionsInRetweet : 3146
Tweet : 1766
Self-Loops : 1821
Reciprocated Vertex Pair Ratio : 0.0289939676979957
Reciprocated Edge Ratio : 0.0563540090771558
Connected Components : 704
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 2860
Maximum Edges in a Connected Component : 10256
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.100972
Graph Density : 0.000256157802507082
Modularity : 0.507067
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,426 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, 22 April 2022 at 14:01 UTC.
The requested start date was Friday, 22 April 2022 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 16-day, 4-hour, 48-minute period from Tuesday, 05 April 2022 at 19:10 UTC to Thursday, 21 April 2022 at 23:58 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:
[1906] acog,rmr [1897] rmr,combo [1894] rifle,acog [1892] fn,scar [1892] scar,17s [1891] 17s,rifle [1890] win,fn [1444] combo,classicfirearm [1444] classicfirearm,valued [1444] valued,6100 Top Word Pairs in Tweet in G1:
[1809] acog,rmr [1809] rmr,combo [1806] fn,scar [1806] scar,17s [1806] rifle,acog [1805] 17s,rifle [1804] win,fn [1444] combo,classicfirearm [1444] classicfirearm,valued [1444] valued,6100 Top Word Pairs in Tweet in G2:
[37] acog_geek4ever,fernandaimamura [33] raka_linda,camilamiran87 [28] minha,mãe [28] não,tem [26] ovinilimazz,acog_geek4ever [24] ele,não [24] eu,não [22] pra,mim [20] mas,não [20] viniciusrli,aguiarthur Top Word Pairs in Tweet in G3:
[64] twitter,chat [63] alcohol,use [44] pregnant,people [43] maternity,care [40] during,pregnancy [40] acog,acog [33] covid,19 [30] join,acog [30] april,19 [29] #alcoholawarenessmonth,twitter Top Word Pairs in Tweet in G4:
[80] rifle,acog [80] acog,rmr [80] rmr,combo [79] sweepstakes,win [79] win,fn [79] fn,scar [79] scar,17s [79] 17s,rifle [78] entered,sweepstakes [78] link,more Top Word Pairs in Tweet in G5:
[319] grab,trijicon [319] trijicon,acog [319] acog,4x32 [319] 4x32,10 [319] 10,code [319] code,'twitter10' [318] scopesplace,grab Top Word Pairs in Tweet in G6:
[80] #russia,#ukraine [78] war_noir,#russia [78] #ukraine,#ukrainian [78] #ukrainian,combatants [78] combatants,quite [78] quite,interesting [78] interesting,weapons [78] weapons,mk [78] mk,18 [78] 18,mod Top Word Pairs in Tweet in G7:
[71] know,acog [71] acog,trying [71] trying,turn [71] turn,internal [71] internal,tide [71] tide,realize [71] realize,field [71] field,wide [71] wide,commitment [71] commitment,obgyn Top Word Pairs in Tweet in G8:
[7] halo,infinite [6] follow,dm [6] cod,points [6] snoop,dogg [4] ja,morant [4] modern,warfare [4] needs,copy [4] copy,lego [4] lego,star [4] star,wars Top Word Pairs in Tweet in G9:
[57] washingtonpost,nytimes [53] reuters,business [53] ap,bbc [53] msnbc,thehill [51] bbc,cnn [50] thehill,acog [48] business,ap [46] wsjhealth,reuters_health [46] reuters_health,reuters [46] acog,amermedicalassn Top Word Pairs in Tweet in G10:
[9] kristanhawkins,acog [7] abortion,healthcare [7] bch1066,kristanhawkins [7] julianne_wiley,kristanhawkins [6] obstetricians,gynecologists [5] 60,000 [5] 000,obstetricians [5] kristanhawkins,technically [5] technically,correct [5] correct,serena Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: