The graph represents a network of 6,773 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, 16 November 2022 at 14:25 UTC.
The requested start date was Wednesday, 16 November 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 2-day, 8-hour, 1-minute period from Tuesday, 01 November 2022 at 23:52 UTC to Friday, 04 November 2022 at 07:54 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 : 6773
Unique Edges : 11171
Edges With Duplicates : 8338
Total Edges : 19509
Number of Edge Types : 5
Replies to : 5707
Mentions : 8563
MentionsInRetweet : 3658
Retweet : 1376
Tweet : 205
Self-Loops : 257
Reciprocated Vertex Pair Ratio : 0.00888634083416941
Reciprocated Edge Ratio : 0.0176161386560591
Connected Components : 177
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 6559
Maximum Edges in a Connected Component : 19280
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.406259
Graph Density : 0.000306932541730224
Modularity : 0.416825
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 6,773 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, 16 November 2022 at 14:25 UTC.
The requested start date was Wednesday, 16 November 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 2-day, 8-hour, 1-minute period from Tuesday, 01 November 2022 at 23:52 UTC to Friday, 04 November 2022 at 07:54 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:
[3021] gavinnewsom,gop [202] gas,tax [197] cagovernor,gavinnewsom [192] gas,prices [187] governor,gavinnewsom [170] potus,gavinnewsom [160] kevinforbos,gavinnewsom [156] voted,against [153] gavin,newsom [141] youâ,re Top Word Pairs in Tweet in G1:
[2850] gavinnewsom,gop [152] kevinforbos,gavinnewsom [132] governor,gavinnewsom [127] hall,fame [126] california,hall [125] fame,thank [125] inducted,california [125] thank,governor [125] honored,inducted [125] gas,prices Top Word Pairs in Tweet in G2:
[151] potus,gavinnewsom [141] cagovernor,gavinnewsom [100] cagovernor,potus [59] gavinnewsom,repscottpeters [59] repscottpeters,repmikelevin [59] gas,tax [49] chrismurphyct,gavinnewsom [49] gavinnewsom,gop [46] gavinnewsom,potus [44] san,diego Top Word Pairs in Tweet in G3:
[38] governor,gavinnewsom [28] san,diego [26] gavinnewsom,gop [24] arrives,marine [24] joebiden,arrives [24] marine,corps [24] miramar,san [24] corps,air [24] diego,welcomed [24] air,station Top Word Pairs in Tweet in G4:
[104] gavinnewsom,mayorofla [100] rickcarusola,gavinnewsom [61] city,council [61] bold,decision [61] mayorofla,city [60] plans,mayorofla [60] homelessness,plans [60] reject,homelessness [60] local,governments [60] gavinnewsom,reject Top Word Pairs in Tweet in G5:
[27] french,laundry [26] forget,governor [26] libsoftiktok,ohiomanblotter [26] governor,french [26] canâ,forget [26] laundry,gavinnewsom [26] ohiomanblotter,canâ [25] christinapushaw,libsoftiktok [24] calhr_gov,gavinnewsom [23] cagovernor,gavinnewsom Top Word Pairs in Tweet in G6:
[7] gavinnewsom,govkathyhochul [7] govkathyhochul,govpritzker [6] justin_hart,gavinnewsom [5] mikesington,gavin [5] gavin,newsom [5] envam,envcalifornia [4] kathyhochul,gavinnewsom [4] gavinnewsom,gop [4] ellelaw4,mikesington [3] gopleader,district Top Word Pairs in Tweet in G7:
[3] #california,#gavinnewsom [3] vote,red [3] voted,against [3] gas,taxes [2] gavinnewsomâ,california [2] #california,#stateofcalifornia [2] vote,republican [2] governor,california [2] needs,introduced [2] donâ,forget Top Word Pairs in Tweet in G8:
[20] local,plans [19] homelessness,inadequate [19] treatment,shelter [19] plans,reduce [19] inadequate,housing [19] reduce,homelessness [19] shelter,enough [19] housing,treatment [18] matthaneysf,local [18] enough,govâ Top Word Pairs in Tweet in G9:
[27] gavinnewsom,gop [12] hillaryclinton,gavinnewsom [10] human,rights [9] macypetty0416,hillaryclinton [8] fact,check [7] benshapiro,repkarenbass [7] #savearmenia,#azeriwarcrimes [7] #azeriwarcrimes,benshapiro [7] repkarenbass,gavinnewsom [6] rights,comes Top Word Pairs in Tweet in G10:
[44] errolwebber,gavinnewsom [31] voted,against [30] thedemocrats,pack [30] gavinnewsom,maybe [29] maybe,voted [29] pork,maybe [29] maybe,thedemocrats [29] bills,pork [29] pack,bills [28] against,entirâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: