The graph represents a network of 7,284 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, 24 September 2021 at 14:04 UTC.
The requested start date was Friday, 24 September 2021 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 20-day, 23-hour, 1-minute period from Friday, 03 September 2021 at 00:51 UTC to Thursday, 23 September 2021 at 23:53 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 : 7284
Unique Edges : 7084
Edges With Duplicates : 13004
Total Edges : 20088
Number of Edge Types : 5
Retweet : 3356
MentionsInRetweet : 5444
Mentions : 7096
Replies to : 2486
Tweet : 1706
Self-Loops : 1730
Reciprocated Vertex Pair Ratio : 0.0400681157968547
Reciprocated Edge Ratio : 0.0770490224405278
Connected Components : 1012
Single-Vertex Connected Components : 436
Maximum Vertices in a Connected Component : 4026
Maximum Edges in a Connected Component : 15169
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.000533
Graph Density : 0.000195723334858705
Modularity : 0.459733
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,284 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, 24 September 2021 at 14:04 UTC.
The requested start date was Friday, 24 September 2021 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 20-day, 23-hour, 1-minute period from Friday, 03 September 2021 at 00:51 UTC to Thursday, 23 September 2021 at 23:53 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:
[904] ãƒ,ム[443] medical,organizations [442] acogaction,today [439] joint,statement [436] leading,medical [433] 600,000 [433] 000,physicians [433] physicians,medical [431] released,joint [430] organizations,representing Top Word Pairs in Tweet in G1:
[175] acog,mysmfm [66] mysmfm,cdcgov [58] pregnancy,acog [55] covid,vaccines [53] covid,19 [51] acog,boardobgyn [49] effective,recommended [45] vaccines,effective [45] recommended,pregnancy [45] cdcgov,pregnancy Top Word Pairs in Tweet in G2:
[403] acogaction,today [394] joint,statement [393] today,leading [393] leading,medical [393] medical,organizations [393] organizations,representing [393] representing,over [393] over,600 [393] 600,000 [393] 000,physicians Top Word Pairs in Tweet in G3:
[103] ãƒ,ム[28] acogはいつまでも使えるものだと思っていた,だが違った [26] ø,ø [22] ù,ø [21] ak47には,acogサイトつけない方がカッコいいよね [20] ø,ù [19] µã,トã [14] covid,19 [13] ªã,ªã [13] ÿã,ªã Top Word Pairs in Tweet in G4:
[94] twitter,chat [89] awareness,month [75] fasd,awareness [45] month,twitter [43] alcohol,use [40] september,21 [33] fasd,prevention [32] cdc_ncbddd,niaaanews [32] risky,alcohol [31] acpinternists,acog Top Word Pairs in Tweet in G5:
[22] call,duty [7] duty,vanguard [6] giving,away [6] years,ago [6] omg,omg [5] vanguard,beta [4] historically,accurate [4] red,star [4] hotel,royal [4] drake,album Top Word Pairs in Tweet in G6:
[54] lozierinstitute,acog [46] 24,weeks [44] until,24 [42] pain,until [39] dr,derbyshire [38] derbyshire,pro [38] pro,choice [38] choice,neuroscientist [38] neuroscientist,whose [38] whose,2010 Top Word Pairs in Tweet in G7:
[20] remove,acog [19] acog,doc [19] doc,speed [19] speed,worst [19] worst,utility [19] utility,game [19] game,give [19] give,mozzie [18] get_flanked,remove [12] acog,back Top Word Pairs in Tweet in G8:
[16] bom,dia [12] meia,noite [11] innistrad,caçada [11] caçada,meia [8] estamos,ao [8] ao,vivo [8] chega,mais [8] ana85soares,rolealeatorio [8] acog_geek4ever,eu [7] rolealeatorio,krolquintana Top Word Pairs in Tweet in G9:
[6] classicallyabby,benshapiro [6] perceive,pain [5] tylerwillett10,smashli1228 [5] katsimkhovitch,robyn87651971 [5] heather4amazon,janekn0wsbest [5] janekn0wsbest,pattysmattyvt [5] pattysmattyvt,el_4ru3yj [5] el_4ru3yj,vixmcintyre [5] vixmcintyre,remoteandie [5] nbrink77,drrosenpenis500 Top Word Pairs in Tweet in G10:
[134] reminder,over [134] over,counter [134] counter,access [134] access,hormonal [134] hormonal,birth [134] birth,control [134] control,ten [133] courtneymilan,reminder [132] ten,yeaâ [9] lrts,pregnant Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G9:
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: