The graph represents a network of 2,515 Twitter users whose recent tweets contained "#massivedumps", 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 Sunday, 29 November 2020 at 18:40 UTC.
The tweets in the network were tweeted over the 2-day, 12-hour, 35-minute period from Friday, 27 November 2020 at 05:47 UTC to Sunday, 29 November 2020 at 18:22 UTC.
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 : 2515
Unique Edges : 4162
Edges With Duplicates : 668
Total Edges : 4830
Number of Edge Types : 5
Replies to : 760
Retweet : 2415
Tweet : 931
MentionsInRetweet : 324
Mentions : 400
Self-Loops : 943
Reciprocated Vertex Pair Ratio : 0.00164880461665293
Reciprocated Edge Ratio : 0.00329218106995885
Connected Components : 545
Single-Vertex Connected Components : 474
Maximum Vertices in a Connected Component : 1820
Maximum Edges in a Connected Component : 4068
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.80819
Graph Density : 0.000576493307458352
Modularity : 0.53888
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,515 Twitter users whose recent tweets contained "#massivedumps", 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 Sunday, 29 November 2020 at 18:40 UTC.
The tweets in the network were tweeted over the 2-day, 12-hour, 35-minute period from Friday, 27 November 2020 at 05:47 UTC to Sunday, 29 November 2020 at 18:22 UTC.
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 : #massivedumps
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1356] massive,dumps [360] #diaperdon,#massivedumps [359] #winning,#diaperdon [339] #massivedumps,trending [266] #massivedumps,#diaperdonnie [247] 87,votes [242] wisconsin,again [241] win,wisconsin [240] great,see [240] see,joe Top Word Pairs in Tweet in G1:
[41] #massivedumps,trending [24] #diaperdon,#massivedumps [20] massive,dumps [19] #massivedumps,#diaperdonald [15] #massivedumps,#diaperdon [10] #massivedumps,trump [10] maria,bartiromo [9] #diaperdonnie,#massivedumps [8] #diaperdonald,#massivedumps [7] taking,#massivedumps Top Word Pairs in Tweet in G2:
[327] massive,dumps [153] #massivedumps,trending [132] #diaperdon,trending [131] trending,heels [131] heels,#diaperdon [131] trending,coincidence [131] coincidence,think [75] saw,massive [75] dumps,trending [75] trending,assumed Top Word Pairs in Tweet in G3:
[157] #diaperdon,know [140] know,lot [140] lot,#massivedumps [100] massive,dumps [74] mariabartiromo,#diaperdon [65] many,people [63] #massivedumps,#diaperdon [61] people,saying [53] saying,#diaperdon [45] #massivedumps,trending Top Word Pairs in Tweet in G4:
[46] realdonaldtrump,#massivedumps [32] massive,dumps [26] taking,#massivedumps [24] #massivedumps,trending [21] #diaperdon,#massivedumps [20] omg,early [20] early,realdonaldtrump [20] realdonaldtrump,bedbug [20] bedbug,change [20] change,#diaperdonald Top Word Pairs in Tweet in G5:
[120] #massivedumps,#diaperdonnie [120] #diaperdonnie,poster [120] poster,boy [120] boy,depends [27] massive,dumps [25] #diaperdonnie,#massivedumps [18] big,massive [17] #massivedumps,#madkinggeorge [16] dumps,big [16] dumps,trump Top Word Pairs in Tweet in G6:
[145] #diaperdon,#massivedumps [142] #winning,#diaperdon [141] great,see [141] see,joe [141] joe,kamala [141] kamala,win [141] win,wisconsin [141] wisconsin,again [141] again,joe [141] joe,picked Top Word Pairs in Tweet in G7:
[605] massive,dumps [75] coming,interview [75] interview,near [75] near,pence [75] pence,massive [75] dumps,cruz [75] cruz,massive [75] dumps,rubio [75] rubio,massive [75] dumps,haley Top Word Pairs in Tweet in G8:
[104] #winning,#diaperdon [92] massive,dumps [85] breaking,trump [85] trump,supporters [85] supporters,spent [85] spent,#massivedumps [85] #massivedumps,million [85] million,hand [85] hand,joebiden [85] joebiden,87 Top Word Pairs in Tweet in G9:
[25] massive,dumps [13] atrupar,#massivedumps [9] atrupar,#diaperdon [9] referring,legal [8] #diaperdon,#massivedumps [8] trump,referring [7] atrupar,trump [7] michigan,pennsylvania [6] #pennsylvania,#michigan [5] taking,#massivedumps Top Word Pairs in Tweet in G10:
[52] massive,dumps [50] wear,diaper [50] diaper,doesn [50] doesn,mean [50] mean,turd [50] turd,immunity [50] immunity,#massivedumps [19] #diaperdon,#massivedumps [16] #massivedumps,trending [13] #massivedumps,#diaperdonnie Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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