The graph represents a network of 6,825 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 January 2021 at 15:14 UTC.
The requested start date was Friday, 22 January 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 23-day, 11-hour, 16-minute period from Tuesday, 29 December 2020 at 13:39 UTC to Friday, 22 January 2021 at 00:55 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 : 6825
Unique Edges : 6788
Edges With Duplicates : 11529
Total Edges : 18317
Number of Edge Types : 5
Mentions : 6528
Replies to : 2965
MentionsInRetweet : 4123
Retweet : 2814
Tweet : 1887
Self-Loops : 1914
Reciprocated Vertex Pair Ratio : 0.0585498695109497
Reciprocated Edge Ratio : 0.110622789152106
Connected Components : 1245
Single-Vertex Connected Components : 553
Maximum Vertices in a Connected Component : 3712
Maximum Edges in a Connected Component : 13770
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.952943
Graph Density : 0.000200305751302234
Modularity : 0.460818
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 6,825 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 January 2021 at 15:14 UTC.
The requested start date was Friday, 22 January 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 23-day, 11-hour, 16-minute period from Tuesday, 29 December 2020 at 13:39 UTC to Friday, 22 January 2021 at 00:55 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:
[342] vs,acog [340] fda,vs [339] single,person [339] source,fda [338] proud,single [338] person,asked [338] asked,source [337] freelandco5,proud [281] ãƒ,ム[280] acog,mysmfm Top Word Pairs in Tweet in G1:
[241] acog,mysmfm [109] mysmfm,jpcodymd [95] candicecodymd,acog [88] 2nd,dose [87] mysmfm,acog [82] dose,#covidvaccine [82] week,pregnant [80] completed,2nd [80] #covidvaccine,yesterday [80] yesterday,38 Top Word Pairs in Tweet in G2:
[142] ø,ø [134] ãƒ,ム[96] ø,ù [93] ù,ø [54] ù,ù [31] acogはいつまでも使えるものだと思っていた,だが違った [25] ak47には,acogサイトつけない方がカッコいいよね [22] µã,トã [16] ø,ùšø [15] covid,19 Top Word Pairs in Tweet in G3:
[336] proud,single [336] single,person [336] person,asked [336] asked,source [336] source,fda [336] fda,vs [336] vs,acog [335] freelandco5,proud [2] babsr10,trump [2] trump,admin Top Word Pairs in Tweet in G4:
[6] make,feel [5] call,duty [4] stimulus,check [4] best,buy [4] x_scp,#faze5 [4] vegas,ainâ [4] national,guard [4] one,year [4] lockdown,won [4] won,long Top Word Pairs in Tweet in G5:
[76] krolquintana,acog_geek4ever [36] tastydemais,krolquintana [31] evil_the_,marcos_flanders [31] marcos_flanders,krolquintana [30] acog_geek4ever,raka_linda [29] lgsilvafilho,ana85soares [27] ana85soares,evil_the_ [22] evil_the_,krolquintana [22] ana85soares,tastydemais [22] acog_geek4ever,lgsilvafilho Top Word Pairs in Tweet in G6:
[23] acog,back [11] bosg,acog [9] bikinibodhi,lastfarewellfts [8] commando,acog [8] acog,again [7] buck,acog [7] jager,acog [7] smg,11 [7] doc,acog [7] lost,acog Top Word Pairs in Tweet in G7:
[64] tonight's,decision [64] decision,#scotus [64] #scotus,re [64] re,imposing [64] imposing,fda's [64] fda's,needless [64] needless,person [64] person,dispensing [64] dispensing,restriction [64] restriction,mifepristone Top Word Pairs in Tweet in G8:
[34] sogcorg,acog [29] washingtonpost,nytimes [29] acog,mysmfm [28] nytimes,financialtimes [28] reuters,business [28] drjengunter,fionamattatall [27] business,ap [27] ap,bbc [27] cnn,msn [27] msn,msnbc Top Word Pairs in Tweet in G9:
[12] cdcgov,acog [9] acaai,ast_info [8] #medtwitter,#medstudenttwitter [8] helpful,society [8] society,links [8] links,#covidvaccine [8] #covidvaccine,recommendations [8] recommendations,acaai [8] initial,guidance [8] guidance,cdcgov Top Word Pairs in Tweet in G10:
[13] acog_is_cute,tubitex [11] tubitex,zitrone_baum [6] zitrone_baum,acog_is_cute [5] matijauwu,zitrone_baum [5] matijauwu,tubitex [4] busynessthe,meltedpotmama [4] meltedpotmama,jessmariegarcia [4] jessmariegarcia,cpansfw [3] kingastolfo,ginawyld [3] kingastolfo,acog_is_cute Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: