The graph represents a network of 3,788 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 Wednesday, 09 February 2022 at 18:53 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 21-minute period from Tuesday, 01 February 2022 at 10:38 UTC to Wednesday, 09 February 2022 at 16:00 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 : 3788
Unique Edges : 9402
Edges With Duplicates : 14300
Total Edges : 23702
Number of Edge Types : 5
Replies to : 304
Mentions : 7726
Retweet : 4176
Tweet : 8924
MentionsInRetweet : 2572
Self-Loops : 9008
Reciprocated Vertex Pair Ratio : 0.135788262370541
Reciprocated Edge Ratio : 0.239108409321175
Connected Components : 8
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 3776
Maximum Edges in a Connected Component : 23656
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.068543
Graph Density : 0.000756840845787944
Modularity : 0.303553
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,788 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 Wednesday, 09 February 2022 at 18:53 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 21-minute period from Tuesday, 01 February 2022 at 10:38 UTC to Wednesday, 09 February 2022 at 16:00 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: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:
[431] #americacompetes,act [363] covid,19 [352] gun,violence [344] biden,administration [303] president,biden [301] united,states [270] supply,chain [254] competes,act [241] black,history [228] human,rights Top Word Pairs in Tweet in G1:
[380] #americacompetes,act [237] gun,violence [163] supply,chains [157] black,history [154] sexual,assault [147] forced,arbitration [141] covid,19 [136] infrastructure,law [136] supply,chain [114] competes,act Top Word Pairs in Tweet in G2:
[225] biden,administration [163] president,biden [162] concedes,act [145] southern,border [125] chinese,communist [124] communist,party [117] covid,19 [114] human,rights [111] united,states [107] national,security Top Word Pairs in Tweet in G3:
[61] biden,administration [59] president,biden [58] bipartisan,infrastructure [47] health,care [42] infrastructure,law [37] southern,border [35] communist,party [34] chinese,communist [32] supply,chain [31] covid,19 Top Word Pairs in Tweet in G4:
[49] digital,age [45] dignity,digital [29] book,dignity [26] rep,rokhanna [22] gun,violence [18] silicon,valley [16] big,tech [12] legitimate,political [12] political,discourse [12] repswalwell,joins Top Word Pairs in Tweet in G5:
[16] san,antonio [15] cm,repgregorymeeks [9] bipartisan,infrastructure [9] paul,rusesabagina [8] gun,violence [8] infrastructure,bill [7] greg,abbott [6] black,americans [6] pothole,tax [5] united,states Top Word Pairs in Tweet in G6:
[14] american,rescue [14] rescue,plan [12] covid,19 [12] build,better [11] gun,violence [10] 000,jobs [10] better,act [9] black,history [8] american,people [8] infrastructure,law Top Word Pairs in Tweet in G7:
[12] congressman,kim [8] business,owners [8] supply,chain [7] united,states [6] national,security [6] health,care [6] postal,service [5] bipartisan,infrastructure [5] infrastructure,law [5] bipartisan,bill Top Word Pairs in Tweet in G8:
[8] repschrader,repdonbacon [7] things,congress [5] petty,officer [5] post,office [4] united,states [4] jackson,french [4] episode,'let's [4] 'let's,common [4] common,ground' [4] repdonbacon,repschrader Top Word Pairs in Tweet in G9:
[9] covid,19 [7] american,people [7] south,carolina [5] united,states [5] chinese,communist [5] communist,party [4] work,better [4] home,covid [4] 19,tests [4] cancer,moonshot Top Word Pairs in Tweet in G10:
[10] competes,act [9] #americacompetes,act [9] supply,chain [8] bipartisan,infrastructure [7] covid,19 [7] good,paying [7] paying,jobs [7] america,competes [6] american,workers [5] infrastructure,law Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: