The graph represents a network of 920 Twitter users whose recent tweets contained "list:4244910", 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 11:58 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 54-minute period from Wednesday, 01 June 2022 at 17:05 UTC to Friday, 10 June 2022 at 10:00 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 : 920
Unique Edges : 1604
Edges With Duplicates : 2674
Total Edges : 4278
Number of Edge Types : 5
Mentions : 1328
Retweet : 648
Tweet : 1973
MentionsInRetweet : 306
Replies to : 23
Self-Loops : 1977
Reciprocated Vertex Pair Ratio : 0.127482383087764
Reciprocated Edge Ratio : 0.226136363636364
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 915
Maximum Edges in a Connected Component : 4264
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 4.077196
Graph Density : 0.00208165775654066
Modularity : 0.303523
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 920 Twitter users whose recent tweets contained "list:4244910", 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 11:58 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 54-minute period from Wednesday, 01 June 2022 at 17:05 UTC to Friday, 10 June 2022 at 10:00 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:4244910
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:
[157] gun,violence [127] gas,prices [97] president,biden [85] health,care [74] american,energy [66] biden,administration [54] biden,admin [54] supreme,court [51] gun,safety [48] record,high Top Word Pairs in Tweet in G1:
[85] gun,violence [49] health,care [24] birth,control [23] gun,safety [23] child,care [18] lgbtq,community [15] background,checks [15] student,debt [15] social,security [14] mass,shootings Top Word Pairs in Tweet in G2:
[71] gas,prices [40] president,biden [33] american,energy [31] biden,admin [26] record,high [24] american,people [19] biden,administration [16] high,gas [14] beaches,normandy [13] oil,gas Top Word Pairs in Tweet in G3:
[12] gas,prices [9] biden,administration [8] biden,admin [7] school,safety [7] unused,covid [7] penny,plan [7] joe,biden [7] senator,hawley [6] covid,funds [6] federal,spending Top Word Pairs in Tweet in G4:
[33] heath,robinson [28] sfc,heath [27] pact,act [22] honoring,pact [21] robinson,honoring [18] toxic,exposed [17] toxic,exposure [17] pass,sfc [15] care,benefits [12] exposed,veterans Top Word Pairs in Tweet in G5:
[13] supreme,court [11] house,democrats [8] justice,kavanaugh [7] speaker,pelosi [6] security,bill [6] kill,justice [5] law,abiding [5] court,justices [5] justices,families [5] security,supreme Top Word Pairs in Tweet in G6:
[25] gun,violence [14] gun,safety [12] human,rights [10] fight,fight [6] child,care [5] safety,legislation [5] clean,energy [5] health,care [5] 14,000 [4] big,oil Top Word Pairs in Tweet in G7:
[14] gun,violence [9] sen,chrismurphyct [7] mass,shootings [5] gun,legislation [5] gun,laws [5] mental,health [5] gun,safety [4] bipartisan,gun [4] sandy,hook [4] part,negotiations Top Word Pairs in Tweet in G8:
[11] abraham,accords [9] defend,act [9] president,biden [8] middle,east [7] clean,energy [5] senate,house [5] house,abraham [5] health,care [4] accords,caucus [4] accords,caucuses Top Word Pairs in Tweet in G9:
[13] happy,birthday [6] gun,violence [6] arctic,refuge [4] mass,shootings [4] birthday,senator [4] wishing,happy [4] birthday,senatorlujan [4] pulled,arctic [4] fossil,fuels [4] senator,martin Top Word Pairs in Tweet in G10:
[8] responsible,financial [8] financial,innovation [8] innovation,act [8] senlummis,sengillibrand [6] digital,assets [5] record,high [5] gas,prices [4] bill,cftc [4] bipartisan,leadership [4] dangerously,mentally 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 G6:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: