The graph represents a network of 13,844 Twitter users whose recent tweets contained "#TooFarLeft", 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, 17 November 2019 at 11:05 UTC.
The tweets in the network were tweeted over the 7-hour, 51-minute period from Sunday, 17 November 2019 at 02:44 UTC to Sunday, 17 November 2019 at 10:36 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 : 13844
Unique Edges : 19116
Edges With Duplicates : 2603
Total Edges : 21719
Self-Loops : 2100
Reciprocated Vertex Pair Ratio : 0.00216955036068775
Reciprocated Edge Ratio : 0.00432970720355036
Connected Components : 867
Single-Vertex Connected Components : 510
Maximum Vertices in a Connected Component : 12153
Maximum Edges in a Connected Component : 19876
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.161358
Graph Density : 9.64138996898454E-05
Modularity : 0.679442
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,844 Twitter users whose recent tweets contained "#TooFarLeft", 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, 17 November 2019 at 11:05 UTC.
The tweets in the network were tweeted over the 7-hour, 51-minute period from Sunday, 17 November 2019 at 02:44 UTC to Sunday, 17 November 2019 at 10:36 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 : #TooFarLeft
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5027] m,#toofarleft [4859] don,t [4541] #toofarleft,believe [2679] #toofarleft,want [2635] human,right [2549] being,#toofarleft [2511] healthcare,human [2433] #toofarleft,think [2344] #toofarleft,means [2343] minimum,wage Top Word Pairs in Tweet in G1:
[1672] m,#toofarleft [1650] #toofarleft,believe [1111] #toofarleft,think [552] #toofarleft,want [523] #toofarleft,oppose [473] health,care [462] human,rights [391] human,right [387] b,c [324] don,t Top Word Pairs in Tweet in G2:
[1412] #toofarleft,want [1008] far,left [743] #toofarleft,think [712] health,care [699] human,rights [698] progressives,want [696] tax,cuts [694] housing,education [693] care,housing [693] healthcare,housing Top Word Pairs in Tweet in G3:
[1962] being,#toofarleft [1956] minimum,wage [1953] healthcare,human [1953] human,right [1948] #toofarleft,means [1947] means,believing [1947] believing,healthcare [1946] right,future [1946] future,generations [1946] generations,live Top Word Pairs in Tweet in G4:
[1964] m,#toofarleft [1344] don,t [1303] #toofarleft,don [1303] t,think [1300] think,children [654] separated,parents [654] children,being [651] #toofarleft,care [650] children,separated [650] parents,put Top Word Pairs in Tweet in G5:
[1867] #toofarleft,believe [719] don,t [677] #toofarleft,don [644] t,think [639] believe,women [604] women,control [604] control,bodies [602] kids,cages [601] believe,healthcare [601] healthcare,right Top Word Pairs in Tweet in G6:
[283] far,left [203] m,#toofarleft [196] white,supremacists [195] being,far [194] left,means [194] means,opposing [194] opposing,tyrannical [194] tyrannical,rule [194] rule,lowlife [194] lowlife,criminal Top Word Pairs in Tweet in G7:
[81] #toofarleft,believe [48] m,#toofarleft [35] #toofarleft,want [33] far,left [30] #toofarleft,think [18] guess,#toofarleft [17] re,#toofarleft [16] don,t [15] #toofarleft,trends [12] #toofarleft,#toofarright Top Word Pairs in Tweet in G8:
[262] #maga,#foxnews [224] #saturdaymorning,#saturdaythoughts [177] #foxnews,#tcot [173] bel,edwards [172] #trump,#maga [172] #democrats,#geauxvote [172] #geauxvote,#lagov [172] #lagov,#election [172] #election,#louisiana [172] #louisiana,#toofarright Top Word Pairs in Tweet in G9:
[219] #toofarleft,think [188] m,#toofarleft [106] #toofarleft,t [106] t,bear [106] bear,see [106] see,man [106] man,weighing [106] weighing,6 [106] 6,stone [106] stone,starved Top Word Pairs in Tweet in G10:
[325] break,up [324] want,break [224] #toofarleft,want [163] motherfucking,banks [163] big,tech [162] up,motherfucking [162] banks,want [162] up,big [162] tech,fully [162] fully,funded 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 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: