The graph represents a network of 6,746 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, 15 April 2022 at 13:59 UTC.
The requested start date was Friday, 15 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 13-day, 8-hour, 52-minute period from Friday, 01 April 2022 at 15:08 UTC to Friday, 15 April 2022 at 00:00 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 : 6746
Unique Edges : 4967
Edges With Duplicates : 11911
Total Edges : 16878
Number of Edge Types : 5
Replies to : 1984
Mentions : 5239
Retweet : 3845
MentionsInRetweet : 4504
Tweet : 1306
Self-Loops : 1335
Reciprocated Vertex Pair Ratio : 0.0275779376498801
Reciprocated Edge Ratio : 0.0536756126021004
Connected Components : 570
Single-Vertex Connected Components : 223
Maximum Vertices in a Connected Component : 1326
Maximum Edges in a Connected Component : 3555
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.745629
Graph Density : 0.000188344321550568
Modularity : 0.483107
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,746 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, 15 April 2022 at 13:59 UTC.
The requested start date was Friday, 15 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 13-day, 8-hour, 52-minute period from Friday, 01 April 2022 at 15:08 UTC to Friday, 15 April 2022 at 00:00 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:
[862] ash,bandit [854] cog,scope [851] one,acog [846] acog,enough [846] enough,try [846] try,cog [846] scope,coming [846] coming,ash [846] bandit,others [846] others,today's Top Word Pairs in Tweet in G1:
[671] back,fob [671] fob,tell [671] ve,last [671] last,few [671] few,days [671] days,went [671] went,poland [671] poland,pick [662] iâ,ve [661] iâ,back Top Word Pairs in Tweet in G2:
[848] ash,bandit [846] one,acog [846] acog,enough [846] enough,try [846] try,cog [846] cog,scope [846] scope,coming [846] coming,ash [846] bandit,others [846] others,today's Top Word Pairs in Tweet in G3:
[44] washingtonpost,nytimes [37] acog,acog [37] nytimes,financialtimes [37] reuters,business [37] ap,bbc [37] msnbc,thehill [36] twitter,chat [36] bbc,cnn [36] thehill,acog [34] acog,amermedicalassn Top Word Pairs in Tweet in G4:
[127] ðÿÿ,ðÿÿ [38] œâ,œâ [20] viniciusrli,aguiarthur [16] os,meninos [16] esse,povo [16] eu,não [15] uma,coisa [15] pra,mim [15] ele,não [15] mas,não Top Word Pairs in Tweet in G5:
[534] acog,rmr [534] rmr,combo [533] win,fn [533] fn,scar [533] scar,17s [533] 17s,rifle [533] rifle,acog [484] entered,win [484] combo,classicfirearm [484] classicfirearm,valued Top Word Pairs in Tweet in G6:
[230] grab,trijicon [230] trijicon,acog [230] acog,4x32 [230] 4x32,10 [230] 10,code [230] code,'twitter10' [229] scopesplace,grab Top Word Pairs in Tweet in G7:
[153] ãƒ,ム[21] ì,ì [16] ê,ì [14] ë,ì [14] ë,ë [14] µã,トã [14] ak47には,acogサイトつけない方がカッコいいよね [13] rifle,acog [12] ÿã,ªã [12] ì,ë Top Word Pairs in Tweet in G8:
[75] #russia,#ukraine [73] war_noir,#russia [73] #ukraine,#ukrainian [73] #ukrainian,combatants [73] combatants,quite [73] quite,interesting [73] interesting,weapons [73] weapons,mk [73] mk,18 [73] 18,mod Top Word Pairs in Tweet in G9:
[43] maternity,care [23] acog,marchofdimes [22] marchofdimes,recommend [22] recommend,postpartum [22] postpartum,maternity [22] care,moms [22] moms,risk [22] risk,serious [22] serious,sometimes [22] sometimes,life Top Word Pairs in Tweet in G10:
[9] obstetricians,gynecologists [7] abortion,healthcare [6] bch1066,kristanhawkins [5] american,college [5] third,trimester [5] rcog,acog [5] kristanhawkins,technically [5] technically,correct [5] correct,serena [5] serena,once Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: