The graph represents a network of 11,765 Twitter users whose recent tweets contained "#ConsequencesForTrump", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 06 August 2020 at 16:10 UTC.
The tweets in the network were tweeted over the 7-hour, 8-minute period from Thursday, 06 August 2020 at 08:11 UTC to Thursday, 06 August 2020 at 15:20 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 : 11765
Unique Edges : 22046
Edges With Duplicates : 3831
Total Edges : 25877
Number of Edge Types : 5
Retweet : 15781
Tweet : 1428
MentionsInRetweet : 4026
Replies to : 3503
Mentions : 1139
Self-Loops : 1458
Reciprocated Vertex Pair Ratio : 0.00076103500761035
Reciprocated Edge Ratio : 0.00152091254752852
Connected Components : 622
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 10977
Maximum Edges in a Connected Component : 24997
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.636607
Graph Density : 0.000161520528460777
Modularity : 0.553803
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,765 Twitter users whose recent tweets contained "#ConsequencesForTrump", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 06 August 2020 at 16:10 UTC.
The tweets in the network were tweeted over the 7-hour, 8-minute period from Thursday, 06 August 2020 at 08:11 UTC to Thursday, 06 August 2020 at 15:20 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 : TwitterSearch
Graph Term : #ConsequencesForTrump
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:
[4146] attorney,general [4099] major,national [4082] national,announcement [2664] #consequencesfortrump,#consequencesfortrump [2522] announcement,tomorrow [2157] make,major [2140] general,make [2136] breaking,attorney [2094] re,hoping [2094] hoping,praying Top Word Pairs in Tweet in G1:
[509] mr,president [507] #consequencesfortrump,#consequencesfortrump [499] donald,trump [497] #consequencesfortrump,#donsnextcon [490] north,korean [454] salute,north [454] korean,generals [454] generals,#consequencesfortrump [441] attorney,general [423] president,salute Top Word Pairs in Tweet in G2:
[1338] donwinslow,#consequencesfortrump [1137] ad,donwinslow [1133] another,great [1131] great,#trump [1131] #trump,ad [828] #consequencesfortrump,#consequencesfortrump [534] know,bullshit [454] tweet,#consequencesfortrump [400] please,tweet [269] hey,twitter Top Word Pairs in Tweet in G3:
[1697] attorney,general [1696] major,national [1694] national,announcement [1687] breaking,attorney [1687] general,make [1687] make,major [1687] announcement,tomorrow [1687] tomorrow,re [1687] re,hoping [1687] hoping,praying Top Word Pairs in Tweet in G4:
[1137] attorney,general [1134] major,national [1134] national,announcement [1045] ny,state [1022] 11,30 [1020] making,major [1016] letitia,james [1013] general,letitia [1011] james,making [1010] state,attorney Top Word Pairs in Tweet in G5:
[783] #consequencesfortrump,#consequencesfortrump [176] need,serious [176] serious,#consequencesfortrump [167] thinks,need [135] deutsche,bank [121] tweet,#consequencesfortrump [101] bank,actually [101] actually,fulfilled [101] fulfilled,request [101] request,#consequencesfortrump Top Word Pairs in Tweet in G6:
[466] #consequencesfortrump,begun [466] begun,trend [466] trend,retweet [466] retweet,reply [466] reply,hashtag [466] hashtag,buckle [352] #consequencesfortrump,counts [292] #consequencesfortrump,#consequencesfortrump [209] tweet,#consequencesfortrump [190] retweet,#consequencesfortrump Top Word Pairs in Tweet in G7:
[55] #consequencesfortrump,#consequencesfortrump [9] #consequencesfortrump,counts [8] #dolar,#bbnaijalockdown2020 [8] #hiroshima,#consequencesfortrump [7] #consequencesfortrump,still [6] #consequencesfortrump,copy [6] copy,paste [6] paste,#consequencesfortrump [6] still,counts [6] counts,#consequencesfortrump Top Word Pairs in Tweet in G8:
[132] dancing,fucking [132] fucking,streets [132] streets,#consequencesfortrump [132] #consequencesfortrump,think [96] realdonaldtrump,tndesjarlais [95] tndesjarlais,trump [95] trump,endorsed [95] endorsed,abortions [95] abortions,lovers [95] lovers,sex Top Word Pairs in Tweet in G9:
[376] major,national [376] national,announcement [370] attorney,general [347] making,major [344] james,making [328] announcement,tomorrow [316] deutsche,bank [312] going,prison [306] tish,james [305] york,grand Top Word Pairs in Tweet in G10:
[10] #consequencesfortrump,#trumpisacompletefailure [7] spanky's,going [7] going,jail [7] using,mentally [7] mentally,unstable [7] unstable,man [7] man,prop [7] prop,help [7] help,sitting [7] sitting,president 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 G9:
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 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: