The graph represents a network of 7,155 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, 16 October 2020 at 13:58 UTC.
The requested start date was Friday, 16 October 2020 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 21-day, 13-hour, 28-minute period from Thursday, 24 September 2020 at 09:50 UTC to Thursday, 15 October 2020 at 23:19 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 : 7155
Unique Edges : 6484
Edges With Duplicates : 10540
Total Edges : 17024
Number of Edge Types : 5
Retweet : 3357
MentionsInRetweet : 5058
Tweet : 2266
Mentions : 4048
Replies to : 2295
Self-Loops : 2292
Reciprocated Vertex Pair Ratio : 0.0367318106898988
Reciprocated Edge Ratio : 0.0708607767431297
Connected Components : 1330
Single-Vertex Connected Components : 614
Maximum Vertices in a Connected Component : 3467
Maximum Edges in a Connected Component : 11430
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.496632
Graph Density : 0.000172036305404101
Modularity : 0.488645
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,155 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, 16 October 2020 at 13:58 UTC.
The requested start date was Friday, 16 October 2020 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 21-day, 13-hour, 28-minute period from Thursday, 24 September 2020 at 09:50 UTC to Thursday, 15 October 2020 at 23:19 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:
[1966] ãƒ,ム[419] µã,トã [202] æ,ˆã [198] œã,ÿã [180] ÿã,æ [179] ƒã,ªã [176] acogã,æ [175] æˆ,ç [168] ˆã,ˆã [165] éƒ,æ Top Word Pairs in Tweet in G1:
[279] ãƒ,ム[43] µã,トã [29] ÿã,ªã [26] ªã,æ [22] æ,œã [22] ì,ë [20] ãƒ,ç [20] œã,ªã [20] ì,ì [20] acogはいつまでも使えるものだと思っていた,だが違った Top Word Pairs in Tweet in G2:
[81] labor,epidurals [77] acog,mysmfm [60] asalifeline,pedianesthesia [53] cause,autism [52] epidurals,cause [50] soaphq,acog [39] jamapediatrics,joint [39] joint,response [38] dr,kameelah [38] kameelah,phillips Top Word Pairs in Tweet in G3:
[56] acog,back [52] coconutbrah,elonmusk [49] elonmusk,valk [49] gets,acog [48] valk,gets [27] bosg,acog [23] jager,acog [17] doc,acog [14] valk,acog [13] sau_siege,rainbow6game Top Word Pairs in Tweet in G4:
[10] tyler,herro [8] relationship,50 [8] 50,50 [8] ve,never [8] lt,lt [8] started,vs [8] itâ,going [6] never,seen [6] iâ,ve [6] started,itâ Top Word Pairs in Tweet in G5:
[99] ameracadpeds,acog [78] #parentsoftiktok,#momsoftiktok [76] #love,#cute [74] #momsoftiktok,#dadsoftiktok [69] #dadsoftiktok,#parentlife [68] #momlife,#dadlife [67] #parentlife,#momlife [64] #cute,#babies [52] #dadlife,#love [42] #dadsoftiktok,#momsoftiktok Top Word Pairs in Tweet in G6:
[11] bom,dia [10] eu,não [8] gt,gt [8] covid,19 [8] maarihsativa,krolquintana [8] krolquintana,acog_geek4ever [7] ubisoftbrasil,twitchsie [7] ana85soares,maarihsativa [6] chega,mais [5] raka_linda,ana85soares Top Word Pairs in Tweet in G7:
[510] ãƒ,ム[56] ç,æ [54] southwood_,ム[49] ãƒ,リã [45] ç,æº [41] µã,トã [37] çµ,ç [36] ãƒ,ç [36] ç,çµ [35] acogã,ç Top Word Pairs in Tweet in G8:
[312] µã,トã [157] ashã,acogã [156] apexæ,ªã [156] ªã,œï [156] œï,ム[156] ãƒ,ashã [156] acogã,æ [156] æ,2å [156] 2å,µã [156] トã,ƒã Top Word Pairs in Tweet in G9:
[134] 유비,방어팀에게 [134] 방어팀에게,acog를 [134] acog를,뺏어감 [134] 뺏어감,시즈 [134] 시즈,유저 [133] regsikbot,유비 [29] 유출,도깨비의 [29] 도깨비의,주무기 [29] 주무기,로드아웃에 [29] 로드아웃에,acog Top Word Pairs in Tweet in G10:
[16] acog,fdawomen [16] fdawomen,ppfa [16] ppfa,bbchealth [16] bbchealth,cnn [16] cnn,fox61news [16] fox61news,nc4hr [16] nc4hr,deviceevents [16] deviceevents,ashesnonprofit [15] innerufilm,acog [10] fibroidsupport,innerufilm Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: