The graph represents a network of 6,342 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, 22 June 2022 at 13:27 UTC.
The requested start date was Wednesday, 22 June 2022 at 00:01 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, 4-hour, 49-minute period from Sunday, 19 June 2022 at 19:10 UTC to Wednesday, 22 June 2022 at 00:00 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 : 6342
Unique Edges : 7505
Edges With Duplicates : 14015
Total Edges : 21520
Number of Edge Types : 5
Mentions : 9087
Retweet : 2779
MentionsInRetweet : 5234
Replies to : 4258
Tweet : 162
Self-Loops : 229
Reciprocated Vertex Pair Ratio : 0.0205438066465257
Reciprocated Edge Ratio : 0.0402605091770278
Connected Components : 89
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 6211
Maximum Edges in a Connected Component : 21347
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.64829
Graph Density : 0.000293997541491252
Modularity : 0.375043
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,342 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, 22 June 2022 at 13:27 UTC.
The requested start date was Wednesday, 22 June 2022 at 00:01 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, 4-hour, 49-minute period from Sunday, 19 June 2022 at 19:10 UTC to Wednesday, 22 June 2022 at 00:00 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:
[927] red,states [817] economic,growth [803] continues,outpace [802] growth,states [802] states,continues [802] outpace,red [800] gavinnewsom,week [794] week,truth [792] truth,economic [406] gavinnewsom,jensiebelnewsom Top Word Pairs in Tweet in G1:
[801] red,states [765] economic,growth [760] gavinnewsom,week [757] states,continues [757] continues,outpace [757] outpace,red [756] week,truth [756] growth,states [754] truth,economic [173] truth,social Top Word Pairs in Tweet in G2:
[24] potus,gavinnewsom [23] gavinnewsom,potus [16] gavinnewsom,tulsigabbard [15] potus,vp [13] gavinnewsom,speakerpelosi [11] nityalakshmi,gavinnewsom [10] teampelosi,mmpadellan [10] kola95624349,shaine52441221 [10] shaine52441221,thevirus1986 [10] thevirus1986,tomilahren Top Word Pairs in Tweet in G3:
[373] gavinnewsom,jensiebelnewsom [106] kamiller1,gavinnewsom [70] shellenbergermd,gavinnewsom [68] red,states [66] saxocrat,kamiller1 [59] bon,appetit [59] appetit,horrible [59] horrible,amen [50] stanjfrench,gavinnewsom [49] jaime90640,gavinnewsom Top Word Pairs in Tweet in G4:
[247] gavinnewsom,ca_dem [138] gas,prices [76] friendly,reminder [76] high,gas [75] reminder,gavinnewsom [75] ca_dem,investigating [75] investigating,cause [75] cause,high [74] millanpatterson,friendly [74] millanpatterson,gavinnewsom Top Word Pairs in Tweet in G5:
[95] cagovernor,gavinnewsom [80] 916,445 [78] call,gavinnewsom [71] 445,2841 [67] longest,day [67] tell,#nosolartax [66] please,call [66] day,year [63] june,21 [63] 21,longest Top Word Pairs in Tweet in G6:
[47] gov,gavinnewsom [42] over,140 [35] deliver,letter [30] ice,transfers [29] pass,#visionact [28] today,community [28] community,state [28] state,legislators [28] legislators,california [28] california,deliver Top Word Pairs in Tweet in G7:
[21] rendon63rd,sentoniatkins [11] thank,rendon63rd [11] sentoniatkins,asmmarkstone [11] asmmarkstone,supporting [11] supporting,foster [11] foster,kids [11] kids,60 [11] 60,million [11] million,2022 [11] 2022,23 Top Word Pairs in Tweet in G8:
[21] cdcgov,cdcdirector [17] california,gavinnewsom [14] lapublichealth,capublichealth [14] capublichealth,gavinnewsom [14] gavinnewsom,cagovernor [14] cagovernor,cdcgov [13] stonecoldpillar,lapublichealth [10] gavinnewsom,'s [10] many,children [10] under,years Top Word Pairs in Tweet in G9:
[11] govrondesantis,gavinnewsom [6] effective,governor [6] governor,govrondesantis [6] govrondesantis,antithesis [6] antithesis,gavinnewsom [6] gavinnewsom,anti [6] anti,growth [6] growth,anti [6] anti,free [6] free,market Top Word Pairs in Tweet in G10:
[4] red,states [3] blue,states [2] truth,social [2] governor,newsom [2] murder,rates [2] gonna,run [2] governor,#gavinnewsom [2] nice,try [2] gdp,growth [2] raise,prices 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 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 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: