The graph represents a network of 5,034 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, 08 April 2020 at 13:32 UTC.
The requested start date was Wednesday, 08 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-hour, 35-minute period from Tuesday, 07 April 2020 at 20:25 UTC to Wednesday, 08 April 2020 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 : 5034
Unique Edges : 8704
Edges With Duplicates : 3632
Total Edges : 12336
Number of Edge Types : 4
MentionsInRetweet : 5317
Mentions : 4485
Replies to : 2250
Tweet : 284
Self-Loops : 284
Reciprocated Vertex Pair Ratio : 0.0156349038664695
Reciprocated Edge Ratio : 0.030788433534429
Connected Components : 256
Single-Vertex Connected Components : 223
Maximum Vertices in a Connected Component : 4729
Maximum Edges in a Connected Component : 12034
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.449189
Graph Density : 0.000379458229637511
Modularity : 0.464903
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,034 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, 08 April 2020 at 13:32 UTC.
The requested start date was Wednesday, 08 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-hour, 35-minute period from Tuesday, 07 April 2020 at 20:25 UTC to Wednesday, 08 April 2020 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:
[870] grateful,gavinnewsom [868] gavinnewsom,people [865] california,sending [860] beyond,grateful [860] people,ca [857] sending,100 [857] 100,lifesaving [857] lifesaving,ventilators [857] ventilators,jersey [857] jersey,beyond Top Word Pairs in Tweet in G1:
[188] sonny,anesthesiologist [188] anesthesiologist,working [188] working,ca [188] ca,pictured [188] pictured,preparing [188] preparing,intubate [188] intubate,patient [188] patient,re [187] gavinnewsom,sonny [187] re,gratef Top Word Pairs in Tweet in G2:
[839] california,sending [839] grateful,gavinnewsom [839] gavinnewsom,people [838] sending,100 [838] 100,lifesaving [838] lifesaving,ventilators [838] ventilators,jersey [838] jersey,beyond [838] beyond,grateful [837] govmurphy,california Top Word Pairs in Tweet in G3:
[22] nygovcuomo,gavinnewsom [20] gavinnewsom,nygovcuomo [19] gavinnewsom,realdonaldtrump [17] gov,gavinnewsom [15] speakerpelosi,gavinnewsom [13] gavinnewsom,mayorofla [13] shiakapos,govpritzker [12] govpritzker,thanks [12] thanks,california [12] california,gov Top Word Pairs in Tweet in G4:
[107] cagovernor,gavinnewsom [64] maddow,msnbc [56] governor,gavinnewsom [50] gavinnewsom,cagovernor [47] capublichealth,chhsagency [46] chhsagency,cal_oes [43] cal_oes,californiadss [40] californiadss,drburkeharris [37] ca_osg,gavinnewsom [37] gavinnewsom,capublichealth Top Word Pairs in Tweet in G5:
[130] 50,ventilators [125] govsisolak,gavinnewsom [124] behalf,nevada [124] nevada,thank [124] thank,governor [124] governor,gavinnewsom [124] gavinnewsom,state [124] state,california [124] california,loaning [124] loaning,50 Top Word Pairs in Tweet in G6:
[11] proud,californian [7] federal,government [6] thank,governor [5] gavin,newsom [5] governor,newsom [5] elonmusk,gavinnewsom [5] gavinnewsom,cool [3] covid,19 [3] home,state [3] great,job Top Word Pairs in Tweet in G7:
[212] gt,gt [52] yashar,gt [17] alfredoarteaga_,lizhabib [14] lizhabib,gavinnewsom [14] lizhabib,leahuko [13] allencrider,gavinnewsom [12] leahuko,gavinnewsom [11] gavinnewsom,andrewsiciliano [10] dirt_trailz,lizhabib [9] domremaro,allencrider Top Word Pairs in Tweet in G8:
[30] meanwhile,trump [30] trump,busy [30] busy,bragging [30] bragging,number [30] number,one [30] one,facebook [23] briantylercohen,meanwhile [20] briantylercohen,gavinnewsom [17] gavinnewsom,thank [15] aimstarnorcal,gavinnewsom Top Word Pairs in Tweet in G9:
[60] karamar111,gavinnewsom [59] gavinnewsom,none [59] none,pay [59] pay,attention [59] attention,spewing [59] spewing,ur [59] ur,aunties [59] aunties,vile [59] vile,crap [59] crap,hear Top Word Pairs in Tweet in G10:
[32] gavinnewsom,cagovernor [26] sunnyjhamd,gavinnewsom [21] cagovernor,amermedicalassn [21] amermedicalassn,asalifeline [21] asalifeline,cmadocs [21] cmadocs,csahq [21] csahq,cma_ceo [13] thank,much [10] much,shout [10] shout,gavinnewsom Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: