The graph represents a network of 3,390 Twitter users whose recent tweets contained "list:34179516", 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 Friday, 10 June 2022 at 13:03 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 23-minute period from Wednesday, 01 June 2022 at 17:01 UTC to Friday, 10 June 2022 at 10:24 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 : 3390
Unique Edges : 7341
Edges With Duplicates : 12167
Total Edges : 19508
Number of Edge Types : 5
Mentions : 6243
Retweet : 3218
Tweet : 8029
Replies to : 240
MentionsInRetweet : 1778
Self-Loops : 8103
Reciprocated Vertex Pair Ratio : 0.125933831376734
Reciprocated Edge Ratio : 0.223696682464455
Connected Components : 17
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 3365
Maximum Edges in a Connected Component : 19419
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.16088
Graph Density : 0.000734634262680492
Modularity : 0.298245
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,390 Twitter users whose recent tweets contained "list:34179516", 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 Friday, 10 June 2022 at 13:03 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 23-minute period from Wednesday, 01 June 2022 at 17:01 UTC to Friday, 10 June 2022 at 10:24 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 : list:34179516
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1356] gun,violence [428] gas,prices [380] president,biden [364] mass,shootings [343] save,lives [295] gun,safety [272] american,people [264] biden,administration [261] american,energy [233] common,sense Top Word Pairs in Tweet in G1:
[336] gas,prices [276] president,biden [218] american,energy [190] biden,administration [129] joe,biden [116] southern,border [112] american,people [105] beaches,normandy [103] biden,admin [96] gun,control Top Word Pairs in Tweet in G2:
[724] gun,violence [203] save,lives [197] mass,shootings [161] gun,safety [112] common,sense [108] protecting,kids [108] kids,act [102] red,flag [98] american,people [77] mental,health Top Word Pairs in Tweet in G3:
[154] gun,violence [58] health,care [36] pact,act [35] heath,robinson [34] common,sense [32] gas,prices [31] mass,shootings [30] president,biden [30] gun,safety [30] sfc,heath Top Word Pairs in Tweet in G4:
[42] gun,violence [24] mass,shootings [24] oil,gas [14] violence,prevention [14] january,6th [14] federal,funding [13] kids,act [13] gas,companies [12] save,lives [12] methane,emissions Top Word Pairs in Tweet in G5:
[54] gun,violence [15] mass,shootings [10] gun,safety [9] save,lives [8] south,street [7] background,checks [6] steve,cohen [6] call,trump [6] trump,call [6] call,revolutionary Top Word Pairs in Tweet in G6:
[34] gun,violence [13] law,enforcement [11] los,angeles [11] violence,prevention [10] kids,act [8] homelessness,crisis [8] protecting,kids [8] red,flag [8] gas,prices [7] united,states Top Word Pairs in Tweet in G7:
[21] gun,violence [10] sen,chrismurphyct [9] gun,legislation [8] innovation,act [8] mass,shootings [7] responsible,financial [7] financial,innovation [7] senlummis,sengillibrand [6] digital,assets [5] record,high Top Word Pairs in Tweet in G8:
[23] gun,violence [16] chairman,reprichardneal [12] customer,service [12] child,care [12] gun,safety [11] gas,prices [8] social,security [8] health,care [7] human,rights [7] background,checks Top Word Pairs in Tweet in G9:
[49] gun,violence [19] save,lives [13] common,sense [9] mass,shootings [8] rally,prayer [8] prayer,vigil [7] jackson,lee [7] gun,safety [6] violence,epidemic [6] reduce,gun Top Word Pairs in Tweet in G10:
[12] gun,violence [8] piece,paper [7] kids,act [6] ethan,law [6] gun,owners [6] southern,border [6] act,vote [5] protecting,kids [5] ethan,song [5] infant,formula Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: