The graph represents a network of 5,042 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 Saturday, 09 November 2019 at 19:47 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 20-minute period from Monday, 04 November 2019 at 06:36 UTC to Tuesday, 05 November 2019 at 07:56 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 : 5042
Unique Edges : 9079
Edges With Duplicates : 4345
Total Edges : 13424
Number of Edge Types : 3
Replies to : 2075
Mentions : 11213
Tweet : 136
Self-Loops : 136
Reciprocated Vertex Pair Ratio : 0.00803018575851393
Reciprocated Edge Ratio : 0.0159324311354257
Connected Components : 80
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 4930
Maximum Edges in a Connected Component : 13312
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.719394
Graph Density : 0.000409926976421271
Modularity : 0.473164
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,042 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 Saturday, 09 November 2019 at 19:47 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 20-minute period from Monday, 04 November 2019 at 06:36 UTC to Tuesday, 05 November 2019 at 07:56 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[933] hey,gavinnewsom [925] whatâ,s [925] s,difference [925] difference,between [924] titanic,lights [924] lights,sank [923] gavinnewsom,whatâ [923] between,california [923] california,titanic [923] titanic,titanic Top Word Pairs in Tweet in G1:
[877] hey,gavinnewsom [867] gavinnewsom,whatâ [867] whatâ,s [867] s,difference [867] difference,between [867] between,california [867] california,titanic [867] titanic,titanic [867] titanic,lights [867] lights,sank Top Word Pairs in Tweet in G2:
[859] realdonaldtrump,gavinnewsom [196] forest,management [188] governor,california [187] terrible,job [185] california,gavinnewsom [185] gavinnewsom,done [185] done,terrible [185] job,forest [183] management,told [183] told,first Top Word Pairs in Tweet in G3:
[123] climate,crisis [122] raking,leaves [122] fixing,tweets [121] leaves,effective [121] effective,combatting [121] combatting,climate [121] crisis,phoneâ [121] phoneâ,s [121] s,spellcheck [121] spellcheck,fixing Top Word Pairs in Tweet in G4:
[52] climate,change [47] gavinnewsom,vamelmt [46] davidmweissman,gavinnewsom [35] realkiradavis,gavinnewsom [26] gavinnewsom,believe [25] christiec733,gavinnewsom [23] clearing,dead [22] controlled,burns [21] itâ,s [21] believe,clearing Top Word Pairs in Tweet in G5:
[105] governor,california [101] hopefully,soon [101] soon,youâ [101] youâ,ll [101] ll,excused [101] excused,being [101] being,governor [101] california,begin [101] begin,period [101] period,recovery Top Word Pairs in Tweet in G6:
[92] gavin,newsom [90] daily,reminder [89] hereâ,s [89] s,daily [88] reminder,gavin [86] newsom,democrats [86] democrats,keeping [86] keeping,poor [86] poor,broke [86] broke,refusing Top Word Pairs in Tweet in G7:
[44] climate,change [39] newsom,arrogance [39] arrogance,ignorance [39] ignorance,excuses [39] excuses,californiaâ [39] californiaâ,s [39] s,dire [39] dire,straits [39] straits,saying [39] saying,climate Top Word Pairs in Tweet in G8:
[15] thehill,gavinnewsom [15] gavinnewsom,ca_dem [15] ca_dem,cagop [15] cagop,schwarzenegger [10] realdonaldtrump,gavinnewsom [8] liz_marie_7,thehill [7] ememess,realdonaldtrump [7] santa,ana [7] ana,winds [7] bkohatl,thehill Top Word Pairs in Tweet in G9:
[15] jlrmackay,keesaroo [14] keesaroo,jdserrano1976 [14] jdserrano1976,dis_roger [13] tericottone,night_harbinger [13] night_harbinger,jlrmackay [12] grumpylibgrunt,tericottone [12] dis_roger,fightpaindaily [12] fightpaindaily,process_x [12] process_x,wlkthlne [12] wlkthlne,diabeteseyedoc Top Word Pairs in Tweet in G10:
[8] #chemicalweapons,#organophosphates [7] dispensing,#chemicalweapons [7] santamonicapd,smmirror [7] #organophosphates,arsenic [7] arsenic,cesium [7] fbilosangeles,gavinnewsom [6] #gangstalkingalert,homeless [5] #santamonica,#losangeles [5] smmirror,fbilosangeles [5] smgaschambers,#gangstalkingalert Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: