The graph represents a network of 642 Twitter users whose tweets in the requested range contained "#noroomforracism", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 September 2022 at 12:30 UTC.
The requested start date was Monday, 19 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 22-hour, 44-minute period from Monday, 05 September 2022 at 00:54 UTC to Saturday, 17 September 2022 at 23:38 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 : 642
Unique Edges : 543
Edges With Duplicates : 1300
Total Edges : 1843
Number of Edge Types : 5
Retweet : 597
MentionsInRetweet : 1086
Mentions : 79
Replies to : 41
Tweet : 40
Self-Loops : 45
Reciprocated Vertex Pair Ratio : 0.00373482726423903
Reciprocated Edge Ratio : 0.00744186046511628
Connected Components : 50
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 387
Maximum Edges in a Connected Component : 1413
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.682455
Graph Density : 0.0026122540228712
Modularity : 0.398572
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 642 Twitter users whose tweets in the requested range contained "#noroomforracism", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 September 2022 at 12:30 UTC.
The requested start date was Monday, 19 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 22-hour, 44-minute period from Monday, 05 September 2022 at 00:54 UTC to Saturday, 17 September 2022 at 23:38 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 : #noroomforracism
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:
[279] pauline,hanson [173] greens,senator [169] support,pauline [158] piss,back [158] back,pakistan [109] ãƒ,ム[100] senator,mehreenfaruqi [95] jacquilambie,support [95] hanson,calling [95] calling,greens Top Word Pairs in Tweet in G1:
[167] pauline,hanson [59] given,pauline [59] hanson,built [59] built,brand [59] brand,political [59] political,career [59] career,promoting [59] promoting,#racism [59] #racism,bigotry [59] bigotry,current Top Word Pairs in Tweet in G2:
[149] greens,senator [146] support,pauline [109] pauline,hanson [100] piss,back [100] back,pakistan [90] senator,mehreenfaruqi [87] peterwmurphy1,jacquilambie [87] jacquilambie,support [87] hanson,calling [87] calling,greens Top Word Pairs in Tweet in G3:
[83] #istandwithpauline,means [83] means,standing [83] standing,next [83] next,steaming [83] steaming,pile [83] pile,putrid [83] putrid,vile [83] vile,hate [83] hate,filled [82] wittatwitta,#istandwithpauline Top Word Pairs in Tweet in G4:
[56] hv,reading [56] reading,vinicius [56] vinicius,jr's [56] jr's,statement [56] statement,racism [56] racism,think [56] think,best [56] best,way [56] way,end [56] end,nonsense Top Word Pairs in Tweet in G5:
[31] こんなネトウヨ芸人を呼ぶなんて,フロンターレ迂闊過ぎる [31] フロンターレ迂闊過ぎる,jリーグ [31] jリーグ,フロンターレのサポーターは日本人ばかりではない [31] フロンターレのサポーターは日本人ばかりではない,#noroomforracism [30] bank_robber_999,こんなネトウヨ芸人を呼ぶなんて [26] attheblacklodge,#noroomforracism Top Word Pairs in Tweet in G6:
[2] #bailavinijr,#noroomforracism [2] #saynotoracism,#weallbleedthesamecolor [2] #weallbleedthesamecolor,#noroomforracism Top Word Pairs in Tweet in G7:
[4] english,spurs [4] spurs,supporter [4] supporter,sister [3] warm,thanks [3] thanks,taking [3] taking,time [3] time,dear [3] dear,white [3] white,female [3] female,english Top Word Pairs in Tweet in G8:
[2] #bailavinijr,sempre [2] sempre,meu [2] meu,amigo [2] amigo,vinijr [2] vinijr,cbf_futebol [2] cbf_futebol,flamengo_en [2] flamengo_en,gremio_en [2] gremio_en,#noroomforracism [2] #noroomforracism,#blacklivesmatter Top Word Pairs in Tweet in G9:
[2] peterwmurphy1,smizzy777 [2] smizzy777,imo [2] imo,paulinehansonoz [2] paulinehansonoz,#nationalshame [2] #nationalshame,unfit [2] unfit,represent [2] represent,constituents [2] constituents,#noroomforracism [2] #noroomforracism,#auspol Top Word Pairs in Tweet in G10:
[2] room,general [2] general,society [2] society,alone [2] alone,football [2] football,match [2] match,disgusting [2] disgusting,behaviour [2] behaviour,yeovil [2] yeovil,town [2] town,#kickitout 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 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:
Top Mentioned in G4:
Top Mentioned in G5:
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: