The graph represents a network of 6,698 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, 30 November 2022 at 14:26 UTC.
The requested start date was Wednesday, 30 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-hour, 35-minute period from Tuesday, 29 November 2022 at 05:25 UTC to Wednesday, 30 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 : 6698
Unique Edges : 13550
Edges With Duplicates : 11144
Total Edges : 24694
Number of Edge Types : 5
Replies to : 4731
Mentions : 9383
Retweet : 2785
MentionsInRetweet : 7764
Tweet : 31
Self-Loops : 62
Reciprocated Vertex Pair Ratio : 0.00487858964408471
Reciprocated Edge Ratio : 0.00970980911397992
Connected Components : 15
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 6677
Maximum Edges in a Connected Component : 24664
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.203106
Graph Density : 0.000404088539575508
Modularity : 0.323676
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,698 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, 30 November 2022 at 14:26 UTC.
The requested start date was Wednesday, 30 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-hour, 35-minute period from Tuesday, 29 November 2022 at 05:25 UTC to Wednesday, 30 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:
[3422] gop,nra [1927] gavinnewsom,gop [1849] gavinnewsom,gopleader [1830] don,see [1824] map,gop [1824] nra,don [1822] gavinnewsom,map [1596] nra,thereidout [336] oil,companies [303] gavinnewsom,oil Top Word Pairs in Tweet in G1:
[3361] gop,nra [1857] gavinnewsom,gop [1815] don,see [1812] map,gop [1812] nra,don [1811] gavinnewsom,map [1547] nra,thereidout [128] gavinnewsom,gopleader [70] timsnowborn,gavinnewsom [69] cjmtuttle,gavinnewsom Top Word Pairs in Tweet in G2:
[1699] gavinnewsom,gopleader [269] oil,companies [243] gavinnewsom,oil [233] record,profits [232] experienced,record [232] paid,record [232] record,prices [231] prices,pump [231] year,paid [230] companies,experienced Top Word Pairs in Tweet in G3:
[17] gavinnewsom,gop [10] gavinnewsom,joebiden [9] tylerperry,google [9] android,facebook [9] google,android [9] itunes,theellenshow [9] apple,itunes [9] facebook,barackobama [9] theellenshow,madea [9] gop,nra Top Word Pairs in Tweet in G4:
[11] cagovernor,gavinnewsom [7] gavinnewsom,sentoniatkins [7] sentoniatkins,rendon63rd [7] gavinnewsom,gopleader [5] mls,bancstadium [5] bancstadium,gavinnewsom [5] lafc,mls [4] californians,agree [4] san,luis [4] oakland,bakersfield Top Word Pairs in Tweet in G5:
[9] chaos,account [9] #children,#sanfrancisco [9] account,harmreduction [9] gavinnewsom,brookejenkinssf [9] sfpdchief,gavinnewsom [9] londonbreed,sfpdchief [9] #sanfrancisco,forced [9] see,inhumane [9] suffering,chaos [9] brookejenkinssf,sfbos Top Word Pairs in Tweet in G6:
[25] scene,tape [25] put,crime [25] ocean,removed [25] rims,basketball [25] people,paddleboarding [25] basketball,goals [25] arrested,people [25] crime,scene [25] paddleboarding,ocean [25] removed,rims Top Word Pairs in Tweet in G7:
[9] vtriz,gavinnewsom [5] douggwinner,gavinnewsom [4] gavinnewsom,gopleader [3] unfilteredspang,douggwinner [3] mavenfund,vtriz [2] rbreich,gavinnewsom [2] frank_s_tank,mavenfund [2] information,please [2] frank_s_tank,unfilteredspang [2] inaccurate,piece Top Word Pairs in Tweet in G8:
[2] secret612,wetheunhoused [2] rooflesser,ucla_grad [2] ucla_grad,k_crowleyla [2] theohen95302259,marindatanow [2] invisiblepeople,kevinmnye1 [2] marvistavoice,hardlynormal [2] jeffreytropp,theohen95302259 [2] ginaforla,ashleynicholeb [2] lacanetwork,goskidrowgo [2] k_crowleyla,jeffreytropp Top Word Pairs in Tweet in G9:
[2] run,#whitehouse [2] #gavinnewsom,told [2] governor,#gavinnewsom [2] #whitehouse,2024 [2] #california,governor [2] #presidentjoebiden,run [2] told,#presidentjoebiden Top Word Pairs in Tweet in G10:
[2] hhsgov,looks [2] more,sponsors [2] sponsors,ready [2] ready,foster [2] gavinnewsom,getting [2] project_veritas,wallstreetsilv [2] getting,more [2] wallstreetsilv,hhsgov [2] looks,gavinnewsom 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 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: