The graph represents a network of 7,361 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, 12 August 2020 at 13:29 UTC.
The requested start date was Wednesday, 12 August 2020 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 14-hour, 9-minute period from Tuesday, 11 August 2020 at 09:51 UTC to Wednesday, 12 August 2020 at 00:01 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 : 7361
Unique Edges : 12337
Edges With Duplicates : 13289
Total Edges : 25626
Number of Edge Types : 5
Replies to : 2954
MentionsInRetweet : 10594
Retweet : 4250
Mentions : 7656
Tweet : 172
Self-Loops : 238
Reciprocated Vertex Pair Ratio : 0.0110519383840119
Reciprocated Edge Ratio : 0.0218622564567286
Connected Components : 134
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 7185
Maximum Edges in a Connected Component : 25408
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.401363
Graph Density : 0.000325894993000715
Modularity : 0.397985
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,361 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, 12 August 2020 at 13:29 UTC.
The requested start date was Wednesday, 12 August 2020 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 14-hour, 9-minute period from Tuesday, 11 August 2020 at 09:51 UTC to Wednesday, 12 August 2020 at 00:01 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:
[2348] joebiden,kamalaharris [1163] gavinnewsom,joebiden [1124] compassionate,empathetic [1123] empathetic,honest [1122] perfect,choice [1120] brilliant,compassionate [1118] principled,brilliant [1116] choice,joebiden [1115] honest,perfect [1114] gavinnewsom,principled Top Word Pairs in Tweet in G1:
[2231] joebiden,kamalaharris [1111] perfect,choice [1108] brilliant,compassionate [1108] compassionate,empathetic [1108] empathetic,honest [1106] principled,brilliant [1105] gavinnewsom,principled [1105] honest,perfect [1105] choice,joebiden [1067] gavinnewsom,joebiden Top Word Pairs in Tweet in G2:
[1079] live,california [1079] gavinnewsom,recalled [1076] voted,gavinnewsom [1075] don,live [1074] obviously,don [1074] california,people [1074] people,voted [1073] richardgrenell,obviously [248] richardgrenell,gavinnewsom [77] sent,email Top Word Pairs in Tweet in G3:
[63] states,shoulder [63] shoulder,burden [63] burden,cutting [63] cutting,important [63] important,services [63] services,gavinnewsom [63] gavinnewsom,critical [62] cagovernor,gavinnewsom [46] joebiden,kamalaharris [35] gavinnewsom,joebiden Top Word Pairs in Tweet in G4:
[198] newsom,doesn [195] unemployment,benefits [195] doesn,enough [194] ca,state [194] state,assembly [194] assembly,pushed [194] pushed,600 [194] 600,week [194] week,additional [194] additional,unemployment Top Word Pairs in Tweet in G5:
[87] greasy,gavinnewsom [82] thank,kevinkileyca [82] kevinkileyca,greasy [82] gavinnewsom,'splainin' [82] 'splainin',gav [82] gav,fun [82] fun,fact [82] fact,vile [82] vile,anti [82] anti,usa Top Word Pairs in Tweet in G6:
[6] lol,lol [3] compassionate,empathetic [2] gov,#gavinnewsom [2] ready,vote [2] literally,none [2] great,choice [2] yes,yes [2] lets,hope [2] principled,brilliant [2] brilliant,compassionate Top Word Pairs in Tweet in G7:
[12] gavinnewsom,nygovcuomo [9] govsisolak,gavinnewsom [9] nygovcuomo,govmurphy [8] gavinnewsom,artvalley818_ [6] nevadaresident1,govsisolak [5] gavinnewsom,govwhitmer [5] aaron_camacho14,nevadaresident1 [5] nygovcuomo,gavinnewsom [4] diablitosmama,aaron_camacho14 [4] artvalley818_,queteleni Top Word Pairs in Tweet in G8:
[7] abc7,gavinnewsom [4] is_veritas,gavinnewsom [4] shut,down [4] back,work [3] releasing,dangerous [3] dangerous,criminals [3] criminals,communities [3] communities,under [3] under,disguise [3] disguise,covid Top Word Pairs in Tweet in G9:
[45] gavinnewsom,robertgarcialb [45] robertgarcialb,jensiebelnewsom [14] gavinnewsom,joebiden [14] joebiden,kamalaharris [7] tomasmorales_iv,gavinnewsom [5] gavinnewsom,jensiebelnewsom [4] newsom,found [4] found,money [4] money,illegal [4] illegal,immigrants Top Word Pairs in Tweet in G10:
[19] unemployment,benefits [17] re,aware [17] aware,california [17] california,gavinnewsom [17] gavinnewsom,going [17] going,fund [17] fund,anymore [17] anymore,covid [17] covid,unemployment [16] buzzpatterson,re Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: