The graph represents a network of 6,977 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 January 2021 at 15:13 UTC.
The requested start date was Friday, 15 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, 7-hour, 43-minute period from Tuesday, 22 December 2020 at 17:06 UTC to Friday, 15 January 2021 at 00:50 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 : 6977
Unique Edges : 7125
Edges With Duplicates : 11286
Total Edges : 18411
Number of Edge Types : 5
Retweet : 2900
MentionsInRetweet : 4367
Mentions : 6427
Replies to : 2838
Tweet : 1879
Self-Loops : 1907
Reciprocated Vertex Pair Ratio : 0.0522468286390024
Reciprocated Edge Ratio : 0.0993052717613404
Connected Components : 1310
Single-Vertex Connected Components : 611
Maximum Vertices in a Connected Component : 3753
Maximum Edges in a Connected Component : 13675
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.148297
Graph Density : 0.000201103100225775
Modularity : 0.478538
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 6,977 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 January 2021 at 15:13 UTC.
The requested start date was Friday, 15 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, 7-hour, 43-minute period from Tuesday, 22 December 2020 at 17:06 UTC to Friday, 15 January 2021 at 00:50 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:
[338] vs,acog [335] fda,vs [334] acog,mysmfm [334] single,person [334] source,fda [333] proud,single [333] person,asked [333] asked,source [332] freelandco5,proud [281] ãƒ,ムTop Word Pairs in Tweet in G1:
[261] acog,mysmfm [195] mysmfm,acog [172] weeks,pregnant [103] mysmfm,jpcodymd [96] covid,19 [91] months,ve [91] ve,seen [91] seen,first [91] first,hand [91] hand,#covid19 Top Word Pairs in Tweet in G2:
[142] ø,ø [131] 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 [24] 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] covid,19 [16] ø,ùšø Top Word Pairs in Tweet in G3:
[331] proud,single [331] single,person [331] person,asked [331] asked,source [331] source,fda [331] fda,vs [331] vs,acog [330] freelandco5,proud [3] brandon_wallis,freelandco5 [3] freelandco5,sadly Top Word Pairs in Tweet in G4:
[6] make,feel [6] one,thing [6] checks,600 [6] 600,checks [4] hits,different [4] give,fuck [4] 2000,checks [4] capitol,hill [4] mad,one [4] merry,christmas Top Word Pairs in Tweet in G5:
[108] drjengunter,fionamattatall [63] acog,mysmfm [59] cause,infertility [56] one,more [56] more,myth [56] myth,dispel [56] dispel,#covidvaccine [56] #covidvaccine,cause [56] infertility,fetal [56] fetal,loss Top Word Pairs in Tweet in G6:
[70] tonight's,decision [70] decision,#scotus [70] #scotus,re [70] re,imposing [70] imposing,fda's [70] fda's,needless [70] needless,person [70] person,dispensing [70] dispensing,restriction [70] restriction,mifepristone Top Word Pairs in Tweet in G7:
[42] krolquintana,acog_geek4ever [36] tastydemais,krolquintana [22] ana85soares,tastydemais [21] ana85soares,krolquintana [17] acog_geek4ever,raka_linda [16] lgsilvafilho,ana85soares [14] bom,dia [14] naoinviabilize,chacomrapadura [14] marcos_flanders,lgsilvafilho [13] veramagalhaes,tavasconcellos Top Word Pairs in Tweet in G8:
[20] acog,back [12] valk,acog [12] smg,11 [11] doc,acog [10] 11,acog [9] jager,acog [9] bikinibodhi,lastfarewellfts [8] ash,acog [8] rainbow6game,abrilluvsyou [8] abrilluvsyou,oddnyx Top Word Pairs in Tweet in G9:
[47] truelearnllc,acog [44] acog,gynsurgery [35] gynsurgery,arpitdave [29] drolgatheobgyn,truelearnllc [19] dana_lukin,mchiorean4 [19] mchiorean4,moss_md [19] moss_md,ibd_afzali [19] ibd_afzali,mregueiromd [19] mregueiromd,edwardloftus2 [19] edwardloftus2,dr_fcalderaibd Top Word Pairs in Tweet in G10:
[23] お待たせしました,mcxのお時間です [23] mcxのお時間です,m4a1を意識したアサルトライフルセットアップです [23] m4a1を意識したアサルトライフルセットアップです,acog [23] acog,ta02がポイント [22] ãƒ,ム[22] minamikenan,お待たせしました [20] やっぱりbravo４をmcxに載せたいですよね,はい [20] はい,載せましたよ [20] 載せましたよ,そしてやってみたかった [20] そしてやってみたかった,romeo１をbravo4の上に載せるスタイル Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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