The graph represents a network of 6,867 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 December 2022 at 14:25 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 52-minute period from Saturday, 03 December 2022 at 23:08 UTC to Wednesday, 07 December 2022 at 01:01 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 : 6867
Unique Edges : 8288
Edges With Duplicates : 8249
Total Edges : 16537
Number of Edge Types : 5
Replies to : 5500
Mentions : 5608
Retweet : 1786
MentionsInRetweet : 3440
Tweet : 203
Self-Loops : 236
Reciprocated Vertex Pair Ratio : 0.0130829476682093
Reciprocated Edge Ratio : 0.0258279891065624
Connected Components : 137
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 6688
Maximum Edges in a Connected Component : 16324
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.414725
Graph Density : 0.000241427028654078
Modularity : 0.430272
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,867 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 December 2022 at 14:25 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 52-minute period from Saturday, 03 December 2022 at 23:08 UTC to Wednesday, 07 December 2022 at 01:01 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 : GraphServerTwitterSearch
Graph Term : gavinnewsom
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:
[563] oil,companies [449] gavinnewsom,ca [432] ripping,pump [431] gavinnewsom,gop [426] stop,oil [418] companies,ripping [418] bill,stop [417] time,put [414] pump,time [414] ca,introduced Top Word Pairs in Tweet in G1:
[490] oil,companies [418] gavinnewsom,ca [408] ripping,pump [407] bill,stop [407] companies,ripping [404] stop,oil [404] time,put [403] ca,introduced [403] nation,bill [403] first,nation Top Word Pairs in Tweet in G2:
[401] gavinnewsom,gop [131] gop,nra [71] nra,thereidout [61] don,see [60] map,gop [60] gavinnewsom,map [60] nra,don [31] amyedwa16808071,gavinnewsom [29] gavinnewsom,capaction [24] gavinnewsom,gopleader Top Word Pairs in Tweet in G3:
[122] larryelder,gavinnewsom [76] 233k,mom [76] receive,233k [76] black,californian [76] gavinnewsom's,reparations [76] recommends,black [76] task,force [76] gov,gavinnewsom's [76] californian,descendants [76] force,recommends Top Word Pairs in Tweet in G4:
[89] cagovernor,gavinnewsom [37] rooftop,solar [27] gavinnewsom,karenbassla [26] lacity,laisadumpster [26] westside311_,myla311 [26] karenbassla,lacity [26] cagovernor,westside311_ [21] streetpeoplela,cagovernor [21] laisadumpster,streetpeoplela [16] rooftop,#solar Top Word Pairs in Tweet in G5:
[65] lorimills4ca42,gavinnewsom [38] davidgiglioca,gavinnewsom [24] maybe58432417,gavinnewsom [24] observer88,davidgiglioca [23] go,die [19] vanillabean_89,gavinnewsom [19] gavinnewsom,gop [16] ianfalkenbury,maybe58432417 [16] itsanewday2020,vanillabean_89 [16] gavinnewsom,california Top Word Pairs in Tweet in G6:
[43] kevinforbos,gavinnewsom [39] gbmz64,gavinnewsom [29] louisjmarinelli,gavinnewsom [28] gavinnewsom,california [27] joewolf72,gavinnewsom [20] oil,companies [18] bentleyawoods,gavinnewsom [17] kikijiki_,gbmz64 [17] california,gas [16] gas,sales Top Word Pairs in Tweet in G7:
[40] atypicalsuthner,gavinnewsom [32] bayareasouthern,gavinnewsom [24] oscareochoa,gavinnewsom [20] jafyfe,gavinnewsom [18] dntfckwthabiden,atypicalsuthner [18] lydiaphalen,bayareasouthern [17] matthewsandbic1,atypicalsuthner [15] mairilicious7,gavinnewsom [13] pilotwaterskier,gavinnewsom [12] wedding,ring Top Word Pairs in Tweet in G8:
[55] tell,gavinnewsom [55] graduate,students [55] #highered,ca [55] quality,#highered [55] gavinnewsom,deliver [55] deliver,mass [55] students,sacramento [55] sacramento,tell [55] join,graduate [55] let's,join Top Word Pairs in Tweet in G9:
[4] gavin,newsom [3] things,conveniently [3] #news,#breakingnews [3] gas,prices [3] #gavinnewsom,#governor [3] #saveneighbours,#gavinnewsom [3] conveniently,missed [2] much,profit [2] card,register [2] #hairsalonhair,#woman Top Word Pairs in Tweet in G10:
[35] robschneider,gavinnewsom [18] gavinnewsom,adamcarolla [17] zigmanfreud,defiantbaptist [17] defiantbaptist,gavinnewsom [16] success,story [16] story,gavinnewsom [16] bring,america [16] gavinnewsom,bring [16] california,success [15] robschneider,california Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: