The graph represents a network of 6,641 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, 23 November 2022 at 14:26 UTC.
The requested start date was Wednesday, 23 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 19-day, 1-hour, 21-minute period from Thursday, 03 November 2022 at 23:39 UTC to Wednesday, 23 November 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 : 6641
Unique Edges : 8163
Edges With Duplicates : 10302
Total Edges : 18465
Number of Edge Types : 5
Mentions : 7131
Replies to : 5097
Retweet : 2010
MentionsInRetweet : 4034
Tweet : 193
Self-Loops : 265
Reciprocated Vertex Pair Ratio : 0.0168904287570377
Reciprocated Edge Ratio : 0.0332197614991482
Connected Components : 153
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 6452
Maximum Edges in a Connected Component : 18247
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.491343
Graph Density : 0.000266235851401389
Modularity : 0.413008
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,641 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, 23 November 2022 at 14:26 UTC.
The requested start date was Wednesday, 23 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 19-day, 1-hour, 21-minute period from Thursday, 03 November 2022 at 23:39 UTC to Wednesday, 23 November 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:
[910] fox,news [848] crime,epidemic [843] gavinnewsom,icymi [842] icymi,according [842] somehow,magically [841] november,9th [841] epidemic,america [841] magically,ended [841] america,somehow [840] 9th,convenient Top Word Pairs in Tweet in G1:
[857] fox,news [825] crime,epidemic [823] icymi,according [823] gavinnewsom,icymi [823] somehow,magically [822] epidemic,america [822] america,somehow [822] magically,ended [822] november,9th [821] according,fox Top Word Pairs in Tweet in G2:
[144] potus,gavinnewsom [134] cagovernor,gavinnewsom [100] cagovernor,potus [99] gavinnewsom,jensiebelnewsom [58] repscottpeters,repmikelevin [58] gavinnewsom,repscottpeters [47] gavinnewsom,gop [46] gov,gavinnewsom [45] governor,gavinnewsom [41] gavinnewsom,potus Top Word Pairs in Tweet in G3:
[30] gavinnewsom,cia [29] cia,secdef [28] statedept,dhsgov [28] san,diego [28] secretservice,statedept [28] dhsgov,deptofdefense [28] secdef,secretservice [26] usedgov,bjuedu [25] governor,gavinnewsom [25] arrives,marine Top Word Pairs in Tweet in G4:
[278] gavinnewsom,gop [38] kevinforbos,gavinnewsom [38] death,penalty [27] askme_idareyou,gavinnewsom [22] gas,prices [22] pluckyfarmbro,gavinnewsom [18] scott_bundy,gavinnewsom [18] gavinnewsom,abolish [17] fox,news [17] death,row Top Word Pairs in Tweet in G5:
[66] gavinnewsom,mayorofla [63] rickcarusola,gavinnewsom [37] city,council [37] bold,decision [37] mayorofla,city [36] plans,mayorofla [36] homelessness,plans [36] reject,homelessness [36] local,governments [36] gavinnewsom,reject Top Word Pairs in Tweet in G6:
[7] #california,#gavinnewsom [6] #women,#womensrights [6] #feminism,#california [6] #feminist,#feminism [6] #stopsb132,#women [6] #womensrightsarehumanrights,#feminist [5] #womensrights,#womensrightsarehumanrights [4] fox,news [3] gas,prices [2] #tidal,#geothermal Top Word Pairs in Tweet in G7:
[22] leannwills1,gavinnewsom [18] firerf560,gavinnewsom [17] davidgiglioca,gavinnewsom [17] nickdraeger,firerf560 [14] record,surplus [9] 25b,budget [9] caltransit,california [9] surplus,25b [9] deficit,lt [9] sanderson92_,leannwills1 Top Word Pairs in Tweet in G8:
[56] still,silent [56] gavin,newsom [56] newsom,still [56] uaw,uc [56] uc,academic [56] reminder,gavin [56] worker,strike [56] academic,worker [56] silent,uaw [56] strike,largest Top Word Pairs in Tweet in G9:
[12] local,plans [11] herz,official [11] green,news [11] jason,herz [11] inadequate,housing [11] climate,management [11] news,jason [10] shelter,enough [10] reduce,homelessness [10] greenne23997803,green Top Word Pairs in Tweet in G10:
[26] rooftop,solar [22] rooftop,#solar [19] gavinnewsom,californiapuc [18] indvcagreenteam,gavinnewsom [14] direct,californiapuc [14] californiapuc,slash [14] #solar,10 [14] incentives,rooftop [14] gavinnewsom,areynoldscpuc [14] gavinnewsom,direct Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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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:
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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:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G10: