The graph represents a network of 6,823 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, 13 January 2021 at 14:34 UTC.
The requested start date was Wednesday, 13 January 2021 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 1-day, 0-hour, 2-minute period from Tuesday, 12 January 2021 at 00:58 UTC to Wednesday, 13 January 2021 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 : 6823
Unique Edges : 10726
Edges With Duplicates : 10591
Total Edges : 21317
Number of Edge Types : 5
Replies to : 4414
Mentions : 8399
MentionsInRetweet : 5862
Retweet : 2375
Tweet : 267
Self-Loops : 323
Reciprocated Vertex Pair Ratio : 0.0148869565217391
Reciprocated Edge Ratio : 0.0293371718417986
Connected Components : 218
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 6549
Maximum Edges in a Connected Component : 21000
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.576475
Graph Density : 0.000313428466574913
Modularity : 0.427607
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 6,823 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, 13 January 2021 at 14:34 UTC.
The requested start date was Wednesday, 13 January 2021 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 1-day, 0-hour, 2-minute period from Tuesday, 12 January 2021 at 00:58 UTC to Wednesday, 13 January 2021 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:
[506] richardgrenell,gavinnewsom [498] cagovernor,gavinnewsom [453] full,panic [453] panic,mode [452] gavinnewsom,full [452] mode,anything [452] anything,survive [452] survive,recallgavin2020 [213] dodgers,padres [210] gavinnewsom,dodgers Top Word Pairs in Tweet in G1:
[55] die,covid [51] recall,gavinnewsom [48] gavinnewsom,recall [47] people,die [46] live,near [45] gavinnewsom,harvard [45] higher,rates [45] rates,live [43] told,people [42] harvard,study Top Word Pairs in Tweet in G2:
[76] gavinnewsom's,state [76] state,mayorofla's [76] mayorofla's,city [76] city,democrats [76] democrats,joebiden [76] joebiden,natioonalize [76] natioonalize,california [75] yesnicksearcy,gavinnewsom's [59] californiadds,ca_edd [58] gavinnewsom,mayorofla Top Word Pairs in Tweet in G3:
[376] cagovernor,gavinnewsom [182] dodgers,padres [181] gavinnewsom,dodgers [138] recall,gaining [115] cagop,gavinnewsom [86] gavinnewsom,rustyhicks [77] gavinnewsom,really [77] elex_michaelson,ca_dem [77] ca_dem,cagovernor [77] rustyhicks,robertgarcia Top Word Pairs in Tweet in G4:
[487] richardgrenell,gavinnewsom [439] full,panic [439] panic,mode [438] gavinnewsom,full [438] mode,anything [438] anything,survive [438] survive,recallgavin2020 [53] gavinnewsom,recallgavin2020 [5] nbc,angeles [5] angeles,pr Top Word Pairs in Tweet in G5:
[163] san,francisco [163] vaccination,sites [162] mass,vaccination [160] francisco,bay [160] bay,area's [160] area's,mass [160] sites,sf [160] sf,department [160] department,public [160] public,health Top Word Pairs in Tweet in G6:
[6] #wapo,#nytimes [6] #nytimes,#cnn [6] #cnn,#joebiden [6] #joebiden,#greatreset [6] #greatreset,#msnbc [6] #msnbc,#abcnews [6] #abcnews,#ap_politics [6] #ap_politics,#cbsnews [6] #cbsnews,#nbcnews [6] #nbcnews,#pbs Top Word Pairs in Tweet in G7:
[49] chamath,gavinnewsom [28] rachel_piersig,gavinnewsom [20] cosmicsight1,gavinnewsom [18] gavinnewsom,equitable [17] askandgetataco,gavinnewsom [14] stupid,word [14] worldlee78,rachel_piersig [13] equitable,stupid [13] word,means [13] means,nothing Top Word Pairs in Tweet in G8:
[43] gavinnewsom,supfletcher [18] daygofootball,gavinnewsom [17] supfletcher,gavinnewsom [13] gavinnewsom,shoot [13] shoot,hoops [13] hoops,youth [13] youth,california [13] california,back [13] back,field [13] field,courts Top Word Pairs in Tweet in G9:
[21] ca's,covid [21] covid,housing [21] housing,crisis [21] crisis,center [19] solutions,ca's [15] center,people [11] gavinnewsom,philting [11] people,corporations [10] philting,scott_wiener [10] #ab15,#ab16 Top Word Pairs in Tweet in G10:
[44] therecount,gavinnewsom [19] padres,stadium [18] gavinnewsom,watch [18] watch,gov [18] gov,gavin [18] gavin,newsom [18] newsom,announce [18] announce,dodgers [18] dodgers,stadium [18] stadium,padres Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: