The graph represents a network of 7,003 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, 23 October 2020 at 13:59 UTC.
The requested start date was Friday, 23 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 23-day, 6-hour, 0-minute period from Tuesday, 29 September 2020 at 17:51 UTC to Thursday, 22 October 2020 at 23:51 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 : 7003
Unique Edges : 6600
Edges With Duplicates : 10298
Total Edges : 16898
Number of Edge Types : 5
Retweet : 3151
MentionsInRetweet : 4788
Mentions : 4201
Replies to : 2443
Tweet : 2315
Self-Loops : 2336
Reciprocated Vertex Pair Ratio : 0.0419487427466151
Reciprocated Edge Ratio : 0.0805197818772479
Connected Components : 1360
Single-Vertex Connected Components : 607
Maximum Vertices in a Connected Component : 3455
Maximum Edges in a Connected Component : 11534
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.51232
Graph Density : 0.00017577238595627
Modularity : 0.488284
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,003 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, 23 October 2020 at 13:59 UTC.
The requested start date was Friday, 23 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 23-day, 6-hour, 0-minute period from Tuesday, 29 September 2020 at 17:51 UTC to Thursday, 22 October 2020 at 23:51 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:
[90] labor,epidurals [89] acog,mysmfm [66] asalifeline,pedianesthesia [59] cause,autism [57] epidurals,cause [56] soaphq,acog [43] dr,kameelah [43] kameelah,phillips [42] drjlozada,jamapediatrics [42] mysmfm,asalifeline Top Word Pairs in Tweet in G2:
[74] acog,back [32] jager,acog [32] bosg,acog [18] doc,acog [14] lost,acog [14] valk,acog [14] smg,11 [13] pick,rate [12] sau_siege,rainbow6game [12] warden,getting Top Word Pairs in Tweet in G3:
[279] ãƒ,ム[43] µã,トã [29] ÿã,ªã [26] ªã,æ [22] æ,œã [22] ì,ë [21] acogはいつまでも使えるものだと思っていた,だが違った [20] ãƒ,ç [20] œã,ªã [20] ì,ì Top Word Pairs in Tweet in G4:
[8] started,vs [8] itâ,going [8] days,till [6] call,duty [6] iâ,ve [6] started,itâ [6] good,morning [6] started,ended [5] theyâ,re [4] #blackopscoldwar,beta Top Word Pairs in Tweet in G5:
[20] gt,gt [15] bom,dia [11] chega,junto [9] covid,19 [8] hoje,dia [8] chega,mais [8] maarihsativa,krolquintana [8] krolquintana,acog_geek4ever [7] ana85soares,maarihsativa [6] rainbow6game,ubisoftbrasil Top Word Pairs in Tweet in G6:
[109] 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 [43] bloodstainedmen,yourwholebaby Top Word Pairs in Tweet in G7:
[47] susan_bewley,acog [32] faithkuz,acog [21] susan_bewley,faithkuz [17] mediclit,acog [14] mediclit,faithkuz [12] acog,evidence [11] evidence,surgeries [11] surgeries,improve [11] improve,libido [11] libido,sex 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:
[423] ãƒ,ム[54] southwood_,ム[49] ç,æ [44] ãƒ,リã [41] ç,æº [40] µã,トã [36] ç,çµ [36] çµ,ç [35] ç,acogã [35] acogã,ç Top Word Pairs in Tweet in G10:
[14] ap,bbc [14] bbc,cnbc [14] cnbc,cnn [13] reuters,business [13] cnn,msn [12] msn,msnbc [11] msnbc,thehill [10] washingtonpost,nytimes [9] nytimes,financialtimes [8] amermedicalassn,acog Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: