The graph represents a network of 13,283 Twitter users whose recent tweets contained "#TrumpNotFitForOffice", 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 Tuesday, 11 February 2020 at 14:48 UTC.
The tweets in the network were tweeted over the 1-day, 14-hour, 45-minute period from Sunday, 09 February 2020 at 23:36 UTC to Tuesday, 11 February 2020 at 14:22 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 : 13283
Unique Edges : 23346
Edges With Duplicates : 3578
Total Edges : 26924
Number of Edge Types : 5
Retweet : 12556
Tweet : 1593
Replies to : 3451
MentionsInRetweet : 7449
Mentions : 1875
Self-Loops : 1674
Reciprocated Vertex Pair Ratio : 0.000854226284542775
Reciprocated Edge Ratio : 0.00170699440959331
Connected Components : 708
Single-Vertex Connected Components : 532
Maximum Vertices in a Connected Component : 12272
Maximum Edges in a Connected Component : 25797
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.168716
Graph Density : 0.000132821458225098
Modularity : 0.661767
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 13,283 Twitter users whose recent tweets contained "#TrumpNotFitForOffice", 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 Tuesday, 11 February 2020 at 14:48 UTC.
The tweets in the network were tweeted over the 1-day, 14-hour, 45-minute period from Sunday, 09 February 2020 at 23:36 UTC to Tuesday, 11 February 2020 at 14:22 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 : #TrumpNotFitForOffice
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:
[1751] #trumpnotfitforoffice,#trumpisacoward [1625] make,sure [1469] william,barr [1463] elect,trump [1460] lindsey,graham [1453] trump,corrupt [1447] breaking,lindsey [1447] graham,confirmed [1447] confirmed,trump [1447] trump,working Top Word Pairs in Tweet in G1:
[469] realdonaldtrump,#trumpnotfitforoffice [332] #trumpnotfitforoffice,trump [319] trump,warns [319] warns,republicans [319] republicans,lose [319] lose,senate [319] senate,2020 [319] 2020,romney [160] impeached,forever [156] still,impeached Top Word Pairs in Tweet in G2:
[722] big,smile [530] #trumpnotfitforoffice,#trumpisacoward [363] victory,speech [361] absolutely,perfect [361] perfect,summation [361] summation,trump's [361] trump's,impeachment [361] impeachment,sham [361] sham,trial [361] trial,victory Top Word Pairs in Tweet in G3:
[1159] make,sure [1153] breaking,lindsey [1153] lindsey,graham [1153] graham,confirmed [1153] confirmed,trump [1153] trump,working [1153] working,giuliani [1153] giuliani,make [1153] sure,giuliani [1153] giuliani,sends Top Word Pairs in Tweet in G4:
[662] work,#trumpnotfitforoffice [658] trump,called [658] called,african [658] african,nations [658] nations,sh [658] sh,holes [658] holes,nfl [658] nfl,players [658] players,neel [658] neel,sob's Top Word Pairs in Tweet in G5:
[800] ve,gone [800] gone,week [800] week,correctly [800] correctly,democrats [800] democrats,down [800] down,fake [800] fake,indian [800] indian,communist [800] communist,confused [800] confused,hair Top Word Pairs in Tweet in G6:
[269] #trumpisacoward,#trumpnotfitforoffice [172] america,#trumpnotfitforoffice [169] see,trump [162] fishpar4n2,roadscrapin [162] roadscrapin,philipjwalsh [162] philipjwalsh,poggydoggy [162] poggydoggy,catahoulasrule [162] catahoulasrule,carrolka [162] carrolka,perreireerecto [162] perreireerecto,bradadavis1 Top Word Pairs in Tweet in G7:
[33] #trumpnotfitforoffice,#trumpisacoward [16] #trumpisacorruptliar,#trumpnotfitforoffice [14] #trumpnotfitforoffice,#trumpbudget [14] #trumpbudget,#trumpnotfitforoffice [12] #trumpnotfitforoffice,#trump [11] #trumpnotfitforoffice,#trumpisanidiot [10] #trumpisacoward,#trumpnotfitforoffice [10] #trump,#trumpnotfitforoffice [9] #trumpnotfitforoffice,#trumpnotfitforoffice [7] #trumpnotfitforoffice,#votebluenomatterwho2020 Top Word Pairs in Tweet in G8:
[267] back,#onevoice1 [265] ltc,vindman [265] vindman,trump [265] trump,bullying [265] bullying,isn [265] isn,working [265] working,punching [265] punching,back [265] #onevoice1,#vindmanisahero [265] #vindmanisahero,#trumpnotfitforoffice Top Word Pairs in Tweet in G9:
[236] gop,#trumpnotfitforoffice [230] state,gop [227] pretty,much [227] much,sums [227] sums,state [88] reality,tv [87] trump,comes [87] comes,office [87] office,rips [87] rips,down Top Word Pairs in Tweet in G10:
[418] #trumpnotfitforoffice,#trumpisacoward [365] white,nationalists [364] trump,fit [364] fit,office [363] office,#trumpnotfitforoffice [358] nationalists,march [358] march,thru [358] thru,washington [358] washington,dc [358] dc,guy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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:
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Top Mentioned in G5:
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Top Mentioned in G8:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: