The graph represents a network of 7,284 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, 17 September 2021 at 14:03 UTC.
The requested start date was Friday, 17 September 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 17-day, 10-hour, 52-minute period from Monday, 30 August 2021 at 13:02 UTC to Thursday, 16 September 2021 at 23:54 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 : 7284
Unique Edges : 6804
Edges With Duplicates : 13441
Total Edges : 20245
Number of Edge Types : 5
Tweet : 1552
Replies to : 2409
Mentions : 6870
Retweet : 3651
MentionsInRetweet : 5763
Self-Loops : 1574
Reciprocated Vertex Pair Ratio : 0.0362959983913131
Reciprocated Edge Ratio : 0.0700494809352867
Connected Components : 965
Single-Vertex Connected Components : 419
Maximum Vertices in a Connected Component : 4365
Maximum Edges in a Connected Component : 16222
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.231272
Graph Density : 0.000194290707154837
Modularity : 0.459768
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,284 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, 17 September 2021 at 14:03 UTC.
The requested start date was Friday, 17 September 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 17-day, 10-hour, 52-minute period from Monday, 30 August 2021 at 13:02 UTC to Thursday, 16 September 2021 at 23:54 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:
[904] ãƒ,ム[550] 600,000 [550] 000,physicians [550] physicians,medical [544] joint,statement [543] medical,organizations [538] leading,medical [538] organizations,representing [537] released,joint [536] acogaction,today Top Word Pairs in Tweet in G1:
[164] acog,mysmfm [70] pregnancy,acog [64] mysmfm,cdcgov [56] lozierinstitute,acog [52] acog,boardobgyn [50] covid,19 [48] effective,recommended [46] covid,vaccines [46] acog,cites [44] twitter,chat Top Word Pairs in Tweet in G2:
[491] acogaction,today [489] joint,statement [488] today,leading [488] leading,medical [488] medical,organizations [488] organizations,representing [488] representing,over [488] over,600 [488] 600,000 [488] 000,physicians Top Word Pairs in Tweet in G3:
[103] ãƒ,ム[26] ø,ø [22] ù,ø [22] 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] ø,ù [19] µã,トã [16] covid,19 [16] ak47には,acogサイトつけない方がカッコいいよね [13] ªã,ªã [13] ÿã,ªã Top Word Pairs in Tweet in G4:
[21] call,duty [8] duty,vanguard [6] vanguard,beta [6] omg,omg [5] combat,pacing [4] modern,warfare [4] warfare,2019 [4] red,star [4] hotel,royal [4] last,tweet Top Word Pairs in Tweet in G5:
[31] acpinternists,acog [27] acog,ameracadpeds [26] 600,000 [26] 000,physicians [26] physicians,medical [24] apapsychiatric,aoafordos [21] leading,physician [21] ameracadpeds,aafp [20] america,leading [20] maacpgovernor,acpinternists Top Word Pairs in Tweet in G6:
[13] bom,dia [10] meia,noite [9] innistrad,caçada [9] caçada,meia [9] acog_geek4ever,eu [6] chega,mais [6] não,tem [6] estamos,ao [6] ao,vivo [6] wizards_magicbr,twitchsie Top Word Pairs in Tweet in G7:
[11] jager,acog [10] acog,back [8] unpopular,opinion [8] opinion,think [8] think,5x [8] 5x,bigger [8] bigger,crutch [8] crutch,acog [7] doc,acog [7] vladrr6,unpopular Top Word Pairs in Tweet in G8:
[6] perceive,pain [5] rod49_j,the_real_bim [5] classicallyabby,benshapiro [5] 24,weeks [4] philbrown62,aimhighffw [4] aimhighffw,vincegottalotta [4] katsimkhovitch,robyn87651971 [4] robyn87651971,adorablepodcast [4] adorablepodcast,adampiersen [4] heather4amazon,janekn0wsbest Top Word Pairs in Tweet in G9:
[134] reminder,over [134] over,counter [134] counter,access [134] access,hormonal [134] hormonal,birth [134] birth,control [134] control,ten [133] courtneymilan,reminder [132] ten,yeaâ [9] lrts,pregnant Top Word Pairs in Tweet in G10:
[30] arcadum,read [18] experience,arcadum [8] acog_muffin,summerssalt [6] cinnstuff,amritavein [6] heart,goes [6] acog_muffin,veibae [5] dndastyni,dragoncrowng [5] dragoncrowng,brandesstoddard [5] naomioop,thank [5] those,affected Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: