The graph represents a network of 7,308 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, 07 September 2022 at 13:26 UTC.
The requested start date was Wednesday, 07 September 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 3-day, 3-hour, 51-minute period from Saturday, 03 September 2022 at 04:02 UTC to Tuesday, 06 September 2022 at 07:54 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 : 7308
Unique Edges : 10888
Edges With Duplicates : 12727
Total Edges : 23615
Number of Edge Types : 5
Replies to : 3755
Mentions : 9301
MentionsInRetweet : 7290
Retweet : 3140
Tweet : 129
Self-Loops : 187
Reciprocated Vertex Pair Ratio : 0.0149224930854827
Reciprocated Edge Ratio : 0.029406172761265
Connected Components : 90
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 7145
Maximum Edges in a Connected Component : 23389
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.660282
Graph Density : 0.000295489348263495
Modularity : 0.430096
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,308 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, 07 September 2022 at 13:26 UTC.
The requested start date was Wednesday, 07 September 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 3-day, 3-hour, 51-minute period from Saturday, 03 September 2022 at 04:02 UTC to Tuesday, 06 September 2022 at 07:54 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:
[503] fast,food [446] cagovernor,gavinnewsom [333] tomilahren,gavinnewsom [258] gavinnewsom,potus [255] gavinnewsom,sign [241] farm,workers [231] sign,#ab2183 [202] richardgrenell,gavinnewsom [171] rolling,blackouts [168] gov,gavinnewsom Top Word Pairs in Tweet in G1:
[323] tomilahren,gavinnewsom [190] richardgrenell,gavinnewsom [161] rolling,blackouts [142] blackouts,florida [140] florida,gavinnewsom [139] don,rolling [138] tomilahren,don [95] fast,food [86] gavinnewsom,californians [86] californians,plug Top Word Pairs in Tweet in G2:
[355] cagovernor,gavinnewsom [202] fast,food [187] sign,#ab2183 [183] farm,workers [161] gavinnewsom,sign [130] sign,bill [118] gov,gavinnewsom [108] recovery,act [107] labor,day [107] gavinnewsom,signed Top Word Pairs in Tweet in G3:
[86] gas,cars [84] vehicles,california [84] california,evs [84] evs,happens [84] happens,grid [84] grid,california [84] california,bans [84] bans,sale [84] sale,gas [84] cars,2035 Top Word Pairs in Tweet in G4:
[227] gavinnewsom,potus [124] potus,teslacharging [124] teslacharging,elonmusk [124] elonmusk,thedemocrats [89] big,deal [88] deal,significant [88] significant,rare [88] rare,moment [88] moment,potus [88] potus,putting Top Word Pairs in Tweet in G5:
[134] fast,food [94] gavinnewsom,signs [92] workplace,standards [91] jeremybwhite,breaking [91] breaking,gavinnewsom [91] signs,fast [91] food,labor [91] labor,bill [91] bill,#ab257 [91] #ab257,creates Top Word Pairs in Tweet in G6:
[49] gavinnewsom,veto [37] disabled,drive [37] drive,forced [37] forced,pay [37] pay,parking [37] parking,use [37] use,builders [36] krampussnail,disabled [26] azadehkhatibi,gavinnewsom [25] veto,#ab2098 Top Word Pairs in Tweet in G7:
[92] claytravis,gavinnewsom [83] gavinnewsom,laws [82] laws,donate [80] donate,thousands [80] thousands,dollars [80] dollars,govrondesantis [80] govrondesantis,moved [80] moved,california [79] california,flor [36] gavinnewsom,govrondesantis Top Word Pairs in Tweet in G8:
[22] pge4me,gavinnewsom [22] california_iso,gavinnewsom [16] 110,today [16] today,power [16] power,due [16] due,recurring [16] recurring,equipment [16] equipment,issue [16] issue,pge4me [16] pge4me,3rd Top Word Pairs in Tweet in G9:
[40] dangerous,scotus [35] california,york [35] york,lawmakers [35] lawmakers,took [35] took,swift [35] swift,action [35] action,mitigate [35] mitigate,fallout [35] fallout,dangerous [35] scotus,bruen Top Word Pairs in Tweet in G10:
[12] londonbreed,gavinnewsom [7] gavinnewsom,laws [6] gavinnewsom,cagovernor [5] san,francisco [5] anyone,surprised [5] surprised,gavinnewsom [5] laws,donated [5] donated,campaign [5] campaign,political [5] political,adversary Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: