The graph represents a network of 240 Twitter users whose recent tweets contained "Election stolen from them by a privately owned Radical Left company", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 300,000 tweets, tweeted between 11/1/2020 12:00:00 AM and 1/31/2021 9:49:15 AM. The network was obtained from Twitter on Friday, 28 October 2022 at 16:20 UTC.
The tweets in the network were tweeted over the 2241-day, 3-hour, 55-minute period from Sunday, 12 October 2014 at 17:42 UTC to Monday, 30 November 2020 at 21:37 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 240
Unique Edges : 120
Edges With Duplicates : 390
Total Edges : 510
Number of Edge Types : 7
Retweet : 111
MentionsInRetweet : 103
Quote : 18
Tweet : 77
Replies to : 101
MentionsInReplyTo : 78
Mentions : 22
Self-Loops : 127
Reciprocated Vertex Pair Ratio : 0.00490196078431373
Reciprocated Edge Ratio : 0.00975609756097561
Connected Components : 50
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 253
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.125515
Graph Density : 0.00357391910739191
Modularity : 0.414381
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 240 Twitter users whose recent tweets contained "Election stolen from them by a privately owned Radical Left company", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 300,000 tweets, tweeted between 11/1/2020 12:00:00 AM and 1/31/2021 9:49:15 AM. The network was obtained from Twitter on Friday, 28 October 2022 at 16:20 UTC.
The tweets in the network were tweeted over the 2241-day, 3-hour, 55-minute period from Sunday, 12 October 2014 at 17:42 UTC to Monday, 30 November 2020 at 21:37 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Election stolen from them by a privately owned Radical Left company
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[266] stolen,privately [266] going,stand [266] election,stolen [266] stand,having [266] having,election [265] privately,owned [260] people,going [221] owned,radical [216] left,company [216] radical,left Top Word Pairs in Tweet in G1:
[110] company,dominion [109] left,company [109] stolen,privately [109] people,going [109] election,stolen [109] radical,left [109] privately,owned [109] stand,having [109] owned,radical [109] having,election Top Word Pairs in Tweet in G2:
[44] left,company [44] going,stand [44] privately,owned [44] having,election [44] radical,left [44] people,going [44] election,stolen [44] stand,having [44] stolen,privately [44] owned,radical Top Word Pairs in Tweet in G3:
[43] going,stand [43] privately,owned [43] trump,tweeted [43] having,election [43] people,going [43] election,stolen [43] tweeted,today [43] stolen,privately [43] stand,having [43] today,people Top Word Pairs in Tweet in G4:
[24] having,election [24] privately,owned [24] election,stolen [24] going,stand [24] stolen,privately [24] owned,radical [24] stand,having [23] left,company [23] radical,left [21] people,going Top Word Pairs in Tweet in G5:
[16] having,election [16] election,stolen [16] going,stand [16] stolen,privately [16] stand,having [15] privately,owned [15] left,company [15] radical,left [15] dominion,many [15] owned,radical Top Word Pairs in Tweet in G6:
[4] company,dominion [4] privately,owned [4] stolen,privately [4] stand,having [4] going,stand [4] owned,radical [4] election,stolen [4] left,company [4] people,going [4] radical,left Top Word Pairs in Tweet in G7:
[5] left,company [5] going,stand [5] privately,owned [5] having,election [5] radical,left [5] people,going [5] company,dominion [5] election,stolen [5] stand,having [5] stolen,privately Top Word Pairs in Tweet in G8:
[3] going,stand [3] privately,owned [3] trump,tweeted [3] having,election [3] people,going [3] election,stolen [3] stolen,privately [3] stand,having [3] tweeted,people [3] owned,radical Top Word Pairs in Tweet in G9:
[2] dominion,many [2] company,dominion [2] privately,owned [2] many,reasons [2] stolen,privately [2] stand,having [2] going,stand [2] owned,radical [2] election,stolen [2] left,company Top Word Pairs in Tweet in G10:
[3] left,company [3] going,stand [3] privately,owned [3] lupe_busto,people [3] having,election [3] radical,left [3] people,going [3] company,dominion [3] election,stolen [3] stand,having Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
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:
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: