The graph represents a network of 13,379 Twitter users whose recent tweets contained "#BidenDisaster", 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 Saturday, 21 August 2021 at 17:14 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 13-minute period from Thursday, 19 August 2021 at 21:07 UTC to Saturday, 21 August 2021 at 16:20 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 : 13379
Unique Edges : 17668
Edges With Duplicates : 4399
Total Edges : 22067
Number of Edge Types : 5
Replies to : 1210
Tweet : 3860
Mentions : 2139
Retweet : 12822
MentionsInRetweet : 2036
Self-Loops : 4059
Reciprocated Vertex Pair Ratio : 0.00227708533077661
Reciprocated Edge Ratio : 0.00454382398660768
Connected Components : 1753
Single-Vertex Connected Components : 1333
Maximum Vertices in a Connected Component : 10840
Maximum Edges in a Connected Component : 18986
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.284973
Graph Density : 9.3449557034238E-05
Modularity : 0.640051
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 13,379 Twitter users whose recent tweets contained "#BidenDisaster", 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 Saturday, 21 August 2021 at 17:14 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 13-minute period from Thursday, 19 August 2021 at 21:07 UTC to Saturday, 21 August 2021 at 16:20 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 : #BidenDisaster
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:
[2918] joe,biden [2571] doing,great [2571] over,world [2569] #bidendisaster,doing [2569] great,damage [2569] damage,america [2569] america,over [2569] world,cover [2569] cover,longer [2569] longer,fooling Top Word Pairs in Tweet in G1:
[2093] #bidendisaster,doing [2093] doing,great [2093] great,damage [2093] damage,america [2093] america,over [2093] over,world [2093] world,cover [2093] cover,longer [2093] longer,fooling [2093] fooling,anyone Top Word Pairs in Tweet in G2:
[516] #bidendisaster,#bidenisafailure [437] #bidenisafailure,#bidendisaster [338] kabul,airport [337] #biden,#bidendisaster [334] british,parliament [330] joebiden,seen [330] seen,question [330] question,credibility [330] credibility,allies [330] allies,around Top Word Pairs in Tweet in G3:
[2022] joe,biden [1840] nice,joe [1840] biden,give [1840] give,taliban [1840] taliban,air [1840] air,force [1840] force,paid [1840] paid,american [1840] american,taxpayer [1840] taxpayer,#bidendisaster Top Word Pairs in Tweet in G4:
[253] #bidenisafailure,#bidendisaster [150] joe,biden [136] #bidendisaster,#bidenisalaughingstock [130] #bidendisaster,#bidenisafailure [112] #bidendisaster,#afghanistan [109] potus,#bidendisaster [83] parliament,holds [79] president,potus [79] #biden,#bidendisaster [78] number,papers Top Word Pairs in Tweet in G5:
[223] #bidenisafailure,#bidendisaster [108] #bidendisaster,#bidenisalaughingstock [94] #biden,#bidendisaster [79] #bidendisaster,#bidenisafailure [74] #bidenisalaughingstock,#bidendisaster [64] #bidendisaster,#bidenfailure [57] #bidendisaster,#bidenmustresign [47] #bidendisaster,#biden [46] joe,biden [46] #afghanistan,#bidendisaster Top Word Pairs in Tweet in G6:
[233] #bidenisafailure,#bidendisaster [216] screamed,long [216] long,loud [216] loud,during [216] during,election [216] election,#biden [216] #biden,disaster [216] disaster,west [216] west,america [216] america,far Top Word Pairs in Tweet in G7:
[381] #bidendisaster,#biden [378] #trumpwasright,#bidendisaster [372] remember,having [372] having,president [372] president,worked [372] worked,18 [372] 18,hour [372] hour,days [372] days,free [372] free,#trumpwasright Top Word Pairs in Tweet in G8:
[80] #kamalaharris,#bidendisaster [73] #trump,#trumpwasright [64] #bidendisaster,#afghanistancrisis [63] #bidendisaster,#trumpwasright [61] america,superpower [61] superpower,joke [61] joke,#kamalaharris [59] #bidenisafailure,#bidendisaster [57] #joebiden,#kamalaharris [56] hate,#trump Top Word Pairs in Tweet in G9:
[173] joe,biden [157] #afghanistan,#bidendisaster [156] worth,military [155] biden,successfully [155] successfully,armed [155] armed,enemy [155] enemy,billions [155] billions,dollars [155] dollars,worth [155] military,equipment Top Word Pairs in Tweet in G10:
[3] #biden,we've [3] we've,made [2] namdac123,gigibuddapdx [2] gigibuddapdx,thumper18560818 [2] thumper18560818,jdw714 [2] jdw714,manoloh102 [2] manoloh102,mychickendinner [2] mychickendinner,menvoters [2] menvoters,22cb22cb [2] 22cb22cb,shenanigansk Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: