The graph represents a network of 15,632 Twitter users whose recent tweets contained "Newsom", 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 Tuesday, 14 September 2021 at 18:54 UTC.
The tweets in the network were tweeted over the 2-hour, 22-minute period from Tuesday, 14 September 2021 at 15:45 UTC to Tuesday, 14 September 2021 at 18:08 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 : 15632
Unique Edges : 20208
Edges With Duplicates : 2634
Total Edges : 22842
Number of Edge Types : 5
Tweet : 3011
Retweet : 14194
Replies to : 1758
Mentions : 1931
MentionsInRetweet : 1948
Self-Loops : 3104
Reciprocated Vertex Pair Ratio : 0.00755181832788817
Reciprocated Edge Ratio : 0.0149904316393791
Connected Components : 1941
Single-Vertex Connected Components : 1253
Maximum Vertices in a Connected Component : 12397
Maximum Edges in a Connected Component : 19336
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.149362
Graph Density : 7.69898831724769E-05
Modularity : 0.74114
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 15,632 Twitter users whose recent tweets contained "Newsom", 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 Tuesday, 14 September 2021 at 18:54 UTC.
The tweets in the network were tweeted over the 2-hour, 22-minute period from Tuesday, 14 September 2021 at 15:45 UTC to Tuesday, 14 September 2021 at 18:08 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 : Newsom
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:
[6777] gavin,newsom [4331] vote,yes [3267] recall,election [2163] california's,future [1744] larry,elder [1446] vote,california's [1282] vote,recall [1238] gov,newsom [1211] newsom,governor [1164] election,today Top Word Pairs in Tweet in G1:
[1746] gavin,newsom [673] recall,election [518] newsom,governor [339] vote,question [316] postmarked,today [312] today,person [311] larry,elder [311] californians,sit [311] sit,today's [311] today's,recall Top Word Pairs in Tweet in G2:
[433] gavin,newsom [162] recall,election [111] gov,gavin [103] california,recall [98] larry,elder [83] recall,newsom [65] newsom,recall [57] vote,recall [51] vote,yes [42] california,gov Top Word Pairs in Tweet in G3:
[3005] vote,yes [1740] california's,future [1160] vote,california's [595] gavin,newsom's [581] clean,streets [580] newsom's,closing [580] closing,message [580] message,vote [580] future,vote [580] future,gavin Top Word Pairs in Tweet in G4:
[914] recall,election [892] stake,california [892] california,everything [892] everything,national [892] national,risk [892] support,keeping [892] keeping,newsom [892] risk,choice [892] choice,between [892] between,newsom Top Word Pairs in Tweet in G5:
[298] gavin,newsom [115] recall,election [111] vote,yes [102] harvey,weinstein [91] gov,newsom [76] gov,gavin [75] joebiden,gavinnewsom [70] newsom,part [70] part,harvey [70] weinstein,army Top Word Pairs in Tweet in G6:
[588] vote,yes [506] gavin,newsom [365] recall,newsom [299] recall,gavin [260] yes,recall [251] vote,recall [199] needs,go [197] newsom,worst [195] california's,future [193] today,vote Top Word Pairs in Tweet in G7:
[442] newsom,recall [412] vote,today [400] today,newsom [400] recall,next [400] next,texas [400] texas,joke [140] gavin,newsom [79] larry,elder [75] recall,election [58] recall,newsom Top Word Pairs in Tweet in G8:
[292] larry,elder's [291] voter,fraud [289] elder's,campaign [289] newsom,won [288] found,voter [288] problem,election [279] election,happened [255] campaign,promoting [251] promoting,website [251] recall,over Top Word Pairs in Tweet in G9:
[256] gavin,newsom [185] vote,against [126] vote,yes [120] against,corruption [120] today,#voteyesontherecall [97] gavin,newsom's [89] larry,elder [78] recall,election [69] california's,future [67] stay,home Top Word Pairs in Tweet in G10:
[340] gov,newsom [338] california,women [338] women,showing [338] showing,gov [338] newsom,striking [338] striking,gender [338] gender,divide [338] divide,crystalized [338] crystalized,lead [338] lead,election Top Replied-To in Entire Graph:
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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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: