The graph represents a network of 6,887 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, 16 September 2020 at 13:33 UTC.
The requested start date was Wednesday, 16 September 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 1-hour, 5-minute period from Tuesday, 15 September 2020 at 22:55 UTC to Wednesday, 16 September 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 : 6887
Unique Edges : 10612
Edges With Duplicates : 13728
Total Edges : 24340
Number of Edge Types : 5
Retweet : 4185
MentionsInRetweet : 10031
Mentions : 6427
Replies to : 3620
Tweet : 77
Self-Loops : 102
Reciprocated Vertex Pair Ratio : 0.0083275937636967
Reciprocated Edge Ratio : 0.0165176353700944
Connected Components : 43
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 6794
Maximum Edges in a Connected Component : 24197
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.223701
Graph Density : 0.000339575743714949
Modularity : 0.276553
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,887 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, 16 September 2020 at 13:33 UTC.
The requested start date was Wednesday, 16 September 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 1-hour, 5-minute period from Tuesday, 15 September 2020 at 22:55 UTC to Wednesday, 16 September 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:
[3637] gavinnewsom,kamalaharris [1477] kamalaharris,joebiden [1003] climate,change [991] joebiden,give [991] give,hope [981] toughest,times [980] times,grateful [979] grateful,friendship [979] friendship,kamalaharris [978] gavinnewsom,toughest Top Word Pairs in Tweet in G1:
[2008] gavinnewsom,kamalaharris [387] spent,time [387] burn,site [386] time,surveying [386] surveying,burn [386] site,gavinnewsom [386] gavinnewsom,area [386] area,devastated [386] devastated,recent [386] recent,wildfires Top Word Pairs in Tweet in G2:
[503] climate,change [438] gavinnewsom,climate [291] gavinnewsom,please [285] dear,gavinnewsom [285] please,play [285] thank,#letusplay [283] play,chance [283] chance,thank [282] amonra_stbrown,dear [129] gavinnewsom,science Top Word Pairs in Tweet in G3:
[1445] kamalaharris,joebiden [982] joebiden,give [980] give,hope [972] toughest,times [971] times,grateful [970] gavinnewsom,toughest [970] grateful,friendship [970] friendship,kamalaharris [493] gavinnewsom,kamalaharris [73] climate,change Top Word Pairs in Tweet in G4:
[763] gavinnewsom,kamalaharris [76] kamalaharris,arson [65] climate,change [65] pxm_2_sd,gavinnewsom [56] buzzpatterson,gavinnewsom [54] jennylee625,pxm_2_sd [42] arson,power [42] power,companies [42] companies,faulty [42] faulty,equipment Top Word Pairs in Tweet in G5:
[80] cagovernor,gavinnewsom [47] gavinnewsom,days [47] days,away [47] away,signing [47] signing,ethnic [47] ethnic,studies [47] studies,model [47] model,curriculum [45] curriculum,cali's [45] cali's,schools Top Word Pairs in Tweet in G6:
[43] billion,years [42] 1776stonewall,billion [13] gavinnewsom,kamalaharris [12] radicals,mismanagement [11] grahamledger,radicals [7] forest,management [7] radical,liberal [7] liberal,arsonist [6] chrismo37540912,radical [5] climate,change Top Word Pairs in Tweet in G7:
[68] kamalaharris,gavinnewsom [9] wanaoni_michael,kamalaharris [6] rachelwilder_,kamalaharris [5] climate,change [5] cmrburnside,kamalaharris [4] unleashthetea,kamalaharris [4] davidsannie4,kamalaharris [3] donald,trump [3] kamalaharris,spent [3] spent,time Top Word Pairs in Tweet in G8:
[39] govinslee,katebrownforor [37] gavinnewsom,govinslee [33] magaxxoo,gavinnewsom [33] climate,change [31] katebrownforor,climate [30] change,names [30] names,faces [6] gavinnewsom,oregongovbrown [3] qellyanon,magaxxoo [3] katebrownforor,gavinnewsom Top Word Pairs in Tweet in G9:
[16] agbecerra,gavinnewsom [16] gavinnewsom,lorenaad80 [10] single,word [10] word,agbecerra [10] lorenaad80,ucblabor [10] ucblabor,union [10] union,funded [10] funded,researchers [9] jenvanlaar,single [9] researchers,veenadu Top Word Pairs in Tweet in G10:
[20] criminals,lurk [20] lurk,around [20] around,scene [20] scene,destruction [20] destruction,example [20] example,see [20] see,picture [19] jgilliam_seal,criminals [2] gavinnewsom,climate [2] climate,change 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 G9:
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: