The graph represents a network of 4,626 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, 27 March 2020 at 13:30 UTC.
The requested start date was Friday, 27 March 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 7-day, 11-hour, 57-minute period from Thursday, 19 March 2020 at 12:02 UTC to Friday, 27 March 2020 at 00:00 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 : 4626
Unique Edges : 6286
Edges With Duplicates : 3067
Total Edges : 9353
Number of Edge Types : 4
Mentions : 3201
Replies to : 1338
MentionsInRetweet : 3707
Tweet : 1107
Self-Loops : 1107
Reciprocated Vertex Pair Ratio : 0.0451164294954722
Reciprocated Edge Ratio : 0.0863376141110939
Connected Components : 720
Single-Vertex Connected Components : 343
Maximum Vertices in a Connected Component : 2499
Maximum Edges in a Connected Component : 6578
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.510782
Graph Density : 0.000302076395461609
Modularity : 0.613474
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 4,626 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, 27 March 2020 at 13:30 UTC.
The requested start date was Friday, 27 March 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 7-day, 11-hour, 57-minute period from Thursday, 19 March 2020 at 12:02 UTC to Friday, 27 March 2020 at 00:00 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:
[707] 30,000 [659] 000,physicians [483] physicians,call [476] breaking,30 [380] #covid19,pandemic [361] during,#covid19 [290] call,abortions [290] abortions,halted [290] halted,during [289] lilagracerose,breaking Top Word Pairs in Tweet in G1:
[68] #covid19,pandemic [59] covid,19 [51] acog,#covid19 [45] rapidly,evolving [45] abortion,essential [44] #coronavirus,pandemic [44] pandemic,rapidly [44] evolving,using [44] using,available [44] available,resources Top Word Pairs in Tweet in G2:
[376] 30,000 [332] 000,physicians [211] elective,abortions [182] breaking,30 [182] physicians,call [177] conserve,scarce [177] scarce,medical [177] medical,resources [176] call,elective [176] abortions,suspended Top Word Pairs in Tweet in G3:
[12] covid,19 [12] acogはいつまでも使えるものだと思っていた,だが違った [11] みんなからの匿名質問を募集中,こんな質問に答えてるよ [11] #質問箱,#匿名質問募集中 [9] ak47には,acogサイトつけない方がカッコいいよね [8] during,covid [5] college,obstetricians [4] abortion,essential [4] essential,component [4] component,comprehensive Top Word Pairs in Tweet in G4:
[298] 30,000 [297] 000,physicians [281] breaking,30 [281] physicians,call [277] call,abortions [277] abortions,halted [277] halted,during [277] during,#covid19 [277] #covid19,pandemic [276] lilagracerose,breaking Top Word Pairs in Tweet in G5:
[23] krolquintana,acog_geek4ever [20] acog_geek4ever,ana85soares [19] madeleinelacsko,luluvstheworld [19] luluvstheworld,lilalivre_ [18] lilalivre_,josie_melo [18] josie_melo,prioligabriela [18] prioligabriela,priscilaaneri [17] ana85soares,annebragatto [17] annebragatto,madeleinelacsko [17] priscilaaneri,beanananananana Top Word Pairs in Tweet in G6:
[115] wash,hands [111] doc's,acog [111] bikinibodhi,wash [110] hands,delete [109] delete,doc's [17] bosg,acog [8] acog,back [5] ash,acog [5] give,acog [5] redbullgaming,give Top Word Pairs in Tweet in G7:
[12] bosg,acog [11] ash,acog [11] call,teamwork [11] teamwork,thx [11] thx,lot [11] lot,nokk [11] nokk,nokk [11] nokk,violencetta [11] violencetta,glazmikkelsen [11] glazmikkelsen,#rainbowsix Top Word Pairs in Tweet in G8:
[22] dolitskymd,jenanijay [22] jenanijay,mysmfm [14] sending,love [14] love,good [14] good,spirits [14] spirits,rutgers [14] rutgers,robert [14] robert,wood [14] wood,johnson [14] johnson,gyn Top Word Pairs in Tweet in G9:
[120] official,medical [120] medical,community [120] community,released [120] released,statement [120] statement,today [120] today,saying [120] saying,abortion [120] abortion,essential [120] essential,component [119] obianuju,official Top Word Pairs in Tweet in G10:
[46] 예거의,acog가 [46] acog가,없어진 [46] 없어진,이유 [45] regsikbot,예거의 [43] 미,육군이 [43] 육군이,m4 [43] m4,카빈 [43] 카빈,현대화 [43] 현대화,프로그램을 [43] 프로그램을,지속할것이라고 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 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:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: