The graph represents a network of 6,989 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, 13 August 2021 at 14:01 UTC.
The requested start date was Friday, 13 August 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 11-day, 20-hour, 55-minute period from Sunday, 01 August 2021 at 02:57 UTC to Thursday, 12 August 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 : 6989
Unique Edges : 4617
Edges With Duplicates : 13792
Total Edges : 18409
Number of Edge Types : 5
Tweet : 1107
Retweet : 4831
MentionsInRetweet : 6373
Mentions : 4439
Replies to : 1659
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.0352571056628336
Reciprocated Edge Ratio : 0.0681127528031018
Connected Components : 637
Single-Vertex Connected Components : 288
Maximum Vertices in a Connected Component : 4451
Maximum Edges in a Connected Component : 12903
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.071415
Graph Density : 0.000195396593043464
Modularity : 0.467522
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,989 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, 13 August 2021 at 14:01 UTC.
The requested start date was Friday, 13 August 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 11-day, 20-hour, 55-minute period from Sunday, 01 August 2021 at 02:57 UTC to Thursday, 12 August 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:
[3958] ãƒ,ム[3650] æ,胞å [3562] ç,ˆã [2771] æž,ç [2666] œã,ÿã [1882] ç,人ç [1881] ãƒ,æž [1878] 胞å,åœ [1839] šå,æ [1828] åœ,šã Top Word Pairs in Tweet in G1:
[297] acog,mysmfm [266] pregnant,individuals [222] pregnant,women [195] acog,pregnant [167] those,planning [166] become,pregnant [160] planning,become [158] feel,confident [157] individuals,those [157] pregnant,feel Top Word Pairs in Tweet in G2:
[1793] ãƒ,ム[1793] æ,胞å [1793] ç,ˆã [1762] æž,ç [1753] œã,ÿã [901] šå,æ [901] ç,人ç [901] 胞å,åœ [901] åœ,šã [901] ãƒ,æž Top Word Pairs in Tweet in G3:
[1768] ãƒ,ム[1759] æ,胞å [1716] ç,ˆã [905] ç,人ç [904] ãƒ,æž [902] 胞å,åœ [901] åœ,šã [884] æž,ç [879] ç,æ [878] œã,ÿã Top Word Pairs in Tweet in G4:
[67] covid,19 [64] ãƒ,ム[23] trijicon,acog [22] pregnant,individuals [22] american,college [18] college,obstetricians [18] obstetricians,gynecologists [17] acog,smfm [15] 19,vaccination [15] ë,ì Top Word Pairs in Tweet in G5:
[66] ergonoatia,zeynepmyenisey [42] w_acog,ergonoatia [26] fake_vigilante,w_acog [17] eggfucker21,trollincidents [13] fake_vigilante,ergonoatia [13] w_acog,melon7_5 [13] melon7_5,eggfucker21 [12] suicide,squad [10] forcefultom,swag_me_hyde [10] swag_me_hyde,8bittheologian Top Word Pairs in Tweet in G6:
[111] pregnant,patients [110] dear,#medtwitter [110] #medtwitter,stop [110] stop,being [110] being,afraid [110] afraid,pregnant [110] patients,offer [110] offer,standard [110] standard,care [110] care,guidance Top Word Pairs in Tweet in G7:
[86] old,acog [84] hit,different [83] ngl,old [83] acog,used [83] used,hit [82] shbzz,ngl [33] doc,acog [31] acog,doc [14] losing,acog [13] defender,losing Top Word Pairs in Tweet in G8:
[4] first,time [4] groupchat,names [3] being,27 [3] means,re [2] don,look [2] look,bill [2] bill,cause [2] cause,ima [2] ima,read [2] read,loud Top Word Pairs in Tweet in G9:
[6] imagine,brasil [5] tiktok,ganhe [5] chega,mais [5] brasil,investisse [4] #umsabadoqualquer,#carlosruas [4] #carlosruas,#tirinhas [4] #tirinhas,#quadrinhos [4] quando,vc [4] bom,dia [4] faça,tiktok Top Word Pairs in Tweet in G10:
[68] american,college [62] college,obstetricians [62] obstetricians,gynecologists [49] pregnancy,#covid19 [49] #covid19,20 [49] 20,fold [49] fold,risk [49] risk,death [49] death,compared [49] compared,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G6:
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:
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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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: