The graph represents a network of 14,091 Twitter users whose recent tweets contained "PG&E", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 06 August 2021 at 19:42 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 54-minute period from Thursday, 29 July 2021 at 13:14 UTC to Friday, 06 August 2021 at 19:08 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 : 14091
Unique Edges : 17642
Edges With Duplicates : 32468
Total Edges : 50110
Number of Edge Types : 5
Tweet : 5694
Replies to : 4298
Retweet : 7046
Mentions : 27277
MentionsInRetweet : 5795
Self-Loops : 5775
Reciprocated Vertex Pair Ratio : 0.0932004353554448
Reciprocated Edge Ratio : 0.170509327185076
Connected Components : 4423
Single-Vertex Connected Components : 2535
Maximum Vertices in a Connected Component : 1796
Maximum Edges in a Connected Component : 17320
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 7.516011
Graph Density : 9.61206280639898E-05
Modularity : 0.379787
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 14,091 Twitter users whose recent tweets contained "PG&E", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 06 August 2021 at 19:42 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 54-minute period from Thursday, 29 July 2021 at 13:14 UTC to Friday, 06 August 2021 at 19:08 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 : TwitterSearch
Graph Term : PG&E
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:
[1087] sheikhein,abu [1087] abu,bakr [1087] bakr,umar [1087] umar,rz [1087] quote,sheikh [1087] sheikh,ahmed [1087] ahmed,sirhindi [1087] sirhindi,irshad [1087] irshad,shia [1087] shia,pg Top Word Pairs in Tweet in G1:
[134] pg,conta [125] pg,caiu [124] criminal,charges [102] dia,pg [88] face,criminal [83] pg,face [78] meu,pg [77] zogg,fire [76] charges,over [76] over,deadly Top Word Pairs in Tweet in G2:
[191] dixie,fire [112] pg,e's [102] camp,fire [91] san,bruno [88] zogg,fire [76] criminal,charges [73] criminally,liable [72] pg,started [72] shasta,county [69] equipment,sparked Top Word Pairs in Tweet in G3:
[31] meu,filho [29] meus,amigos [29] amigos,cariocas [29] cariocas,passem [29] passem,perfil [29] perfil,leiam [29] leiam,toda [29] toda,luta [29] luta,meu [29] filho,tirem Top Word Pairs in Tweet in G4:
[103] equipment,sparked [78] california,utility [78] utility,pg [76] pg,criminally [76] criminally,liable [75] liable,equipment [75] sparked,wildfire [75] wildfire,last [75] last,year [75] year,killed Top Word Pairs in Tweet in G5:
[1087] sheikhein,abu [1087] abu,bakr [1087] bakr,umar [1087] umar,rz [1087] quote,sheikh [1087] sheikh,ahmed [1087] ahmed,sirhindi [1087] sirhindi,irshad [1087] irshad,shia [1087] shia,pg Top Word Pairs in Tweet in G6:
[121] ire_lica,zakk701 [118] lavinia96900738,sir_samwise [118] sir_samwise,rosariavenerus1 [118] rosariavenerus1,hastasemper [118] donnaroma71,vprivaci [118] vprivaci,filippoturati5 [118] filippoturati5,marragia [118] marragia,grandefenice [118] grandefenice,67gerrya [118] 67gerrya,salvinimi Top Word Pairs in Tweet in G7:
[84] company,pg [83] dixie,fire [83] fire,california [83] california,consumed [83] consumed,area [83] area,larger [83] larger,york [83] york,city [83] city,thousands [83] thousands,flee Top Word Pairs in Tweet in G8:
[181] #mawsgo,sanrio [181] sanrio,photocard [181] photocard,holder [181] holder,tingi [181] tingi,170 [181] 170,php [181] php,lsf [181] lsf,dop [181] dop,payo [181] payo,hana Top Word Pairs in Tweet in G9:
[591] fav,gostou [591] gostou,comente [591] comente,pg [515] pg,salvou [179] pack,fav [118] #toalanoche,fav [103] headers,fav [98] cnco,headers [76] pg,pegou [70] cnco,messy Top Word Pairs in Tweet in G10:
[9] minha,vida [8] mais,mais [8] pra,mim [7] os,meus [6] mas,não [6] gt,gt [6] eu,já [5] tão,bom [5] ir,embora [4] outras,pessoas 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 G6:
Top Replied-To in G7:
Top Replied-To in G10:
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 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: