The graph represents a network of 5,055 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 Friday, 08 November 2019 at 19:46 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 : 5055
Unique Edges : 9291
Edges With Duplicates : 4355
Total Edges : 13646
Number of Edge Types : 3
Replies to : 2083
Mentions : 11427
Tweet : 136
Self-Loops : 136
Reciprocated Vertex Pair Ratio : 0.00786506206765849
Reciprocated Edge Ratio : 0.0156073711921775
Connected Components : 70
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 4953
Maximum Edges in a Connected Component : 13534
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.725229
Graph Density : 0.000416314877463845
Modularity : 0.48021
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,055 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 Friday, 08 November 2019 at 19:46 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:
[960] gavinnewsom,s [933] hey,gavinnewsom [925] s,difference [925] difference,between [924] titanic,lights [924] lights,sank [923] between,california [923] california,titanic [923] titanic,titanic [920] education4libs,hey Top Word Pairs in Tweet in G1:
[872] hey,gavinnewsom [871] gavinnewsom,s [862] s,difference [862] difference,between [862] between,california [862] california,titanic [862] titanic,titanic [862] titanic,lights [862] lights,sank [859] education4libs,hey Top Word Pairs in Tweet in G2:
[863] realdonaldtrump,gavinnewsom [197] forest,management [188] governor,california [188] 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,phone [121] phone,s [121] s,spellcheck [121] spellcheck,fixing Top Word Pairs in Tweet in G4:
[59] climate,change [47] gavinnewsom,vamelmt [46] davidmweissman,gavinnewsom [35] realkiradavis,gavinnewsom [26] gavinnewsom,believe [25] christiec733,gavinnewsom [23] clearing,dead [22] controlled,burns [21] believe,clearing [21] dead,brush Top Word Pairs in Tweet in G5:
[105] governor,california [101] hopefully,soon [101] soon,ll [101] ll,excused [101] excused,being [101] being,governor [101] california,begin [101] begin,period [101] period,recovery [101] recovery,due Top Word Pairs in Tweet in G6:
[92] gavin,newsom [90] daily,reminder [89] here,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:
[46] climate,change [41] californian,good [41] good,rest [41] rest,nation [41] nation,held [41] held,financially [41] financially,responsible [41] responsible,destruction [40] newsom,arrogance [40] arrogance,ignorance Top Word Pairs in Tweet in G8:
[15] thehill,gavinnewsom [15] gavinnewsom,ca_dem [15] ca_dem,cagop [15] cagop,schwarzenegger [8] liz_marie_7,thehill [7] santa,ana [7] ana,winds [7] bkohatl,thehill [5] senmcsallyaz,shuttlecdrkelly [5] shuttlecdrkelly,azdemparty Top Word Pairs in Tweet in G9:
[17] agent,chaos [17] chaos,gavinnewsom [17] gavinnewsom,california [17] california,turning [17] turning,shithole [17] shithole,people [17] people,talk [17] talk,frightened [16] robertjohndavi,agent [16] frightened,gavin Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: