The graph represents a network of 9,841 Twitter users whose recent tweets contained "#maga", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 18 September 2019 at 10:52 UTC.
The tweets in the network were tweeted over the 7-hour, 28-minute period from Wednesday, 18 September 2019 at 03:02 UTC to Wednesday, 18 September 2019 at 10:31 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 : 9841
Unique Edges : 20511
Edges With Duplicates : 6660
Total Edges : 27171
Number of Edge Types : 4
Retweet : 8099
Replies to : 1918
Mentions : 15892
Tweet : 1262
Self-Loops : 1421
Reciprocated Vertex Pair Ratio : 0.00650630011454754
Reciprocated Edge Ratio : 0.0129284836345427
Connected Components : 479
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 8852
Maximum Edges in a Connected Component : 25989
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.055902
Graph Density : 0.000226848765286759
Modularity : 0.591137
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1847] #maga,#dobbs [1597] #maga,#kag [1083] trump,campaign [1038] lewandowski,hearing [1032] hearing,absolute [1032] absolute,circus [1032] circus,ashamed [1032] ashamed,government [1032] government,amp [1032] amp,way Top Word Pairs in Tweet in G1:
[421] #maga,#kag [316] privilege,lifetime [316] lifetime,greet [316] greet,realdonaldtrump [316] realdonaldtrump,today [316] today,northern [316] northern,california [316] california,accompany [316] accompany,great [316] great,fundraiser Top Word Pairs in Tweet in G2:
[1752] #maga,#dobbs [1009] trump,campaign [998] sidneypowell1,lewandowski [998] lewandowski,hearing [998] hearing,absolute [998] absolute,circus [998] circus,ashamed [998] ashamed,government [998] government,amp [998] amp,way Top Word Pairs in Tweet in G3:
[127] #maga,#kag [71] #maga,#kag2020 [47] ifb,#maga [43] fake,news [41] realmattcouch,assaulted [41] assaulted,liberal [41] liberal,feminazi [41] feminazi,rubbed [41] rubbed,face [41] face,unshaven Top Word Pairs in Tweet in G4:
[97] #maga,#kag [74] #kag,#maga [64] #trump2020,#maga [43] ed,buck [42] #kag,#trump2020 [40] dancing,stars [39] #maga,#trump2020 [38] let's,make [38] make,hollywood [38] hollywood,complete Top Word Pairs in Tweet in G5:
[443] fake,news [258] #maga,#kag [252] trump,2020 [199] #kag,#trump2020 [195] russia,hoax [195] hoax,failed [195] failed,fake [195] news,throw [195] throw,anything [195] anything,everything Top Word Pairs in Tweet in G6:
[182] #maga,#foxnews [170] corey,lewandowski [140] president,trump [104] #foxnews,#tcot [102] realdonaldtrump,#maga [101] #maga,#kag [100] oh,dear [100] dear,god [100] god,people [100] people,attempt Top Word Pairs in Tweet in G7:
[190] #maga,#kag [45] #fboloud,#tcot [45] #tcot,#maga [42] heard,reliable [42] reliable,source [42] source,stacking [42] stacking,scotus [42] scotus,conservatives [42] conservatives,reverse [42] reverse,roevswade Top Word Pairs in Tweet in G8:
[30] #maga,#trump [26] #maga,#kag [17] #trump2020,#maga [13] #maga,#kag2020 [12] #trump,#maga [11] #kag,#maga [9] #qanon,#thestorm [9] support,trump [8] #maga,#wwg1wga [8] clear,support Top Word Pairs in Tweet in G9:
[127] donald,trump [96] #maga,patriots [91] #jordansviewexpress,153 [91] 153,'rider [91] 'rider,less' [91] less',train [91] train,back [91] back,way [91] way,connect [91] connect,#maga Top Word Pairs in Tweet in G10:
[31] day,social [31] social,media [31] media,manipulation [31] manipulation,lies [31] lies,thought [31] thought,giving [31] giving,really [31] really,pissed [31] pissed,decided [31] decided,triple 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 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 G7:
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: