The graph represents a network of 3,992 Twitter users whose tweets in the requested range contained "#indigenous OR #aboriginal", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 00:29 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 18-hour, 11-minute period from Sunday, 22 March 2020 at 09:15 UTC to Wednesday, 25 March 2020 at 03:26 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 : 3992
Unique Edges : 4394
Edges With Duplicates : 2293
Total Edges : 6687
Number of Edge Types : 4
MentionsInRetweet : 5154
Mentions : 825
Tweet : 617
Replies to : 91
Self-Loops : 617
Reciprocated Vertex Pair Ratio : 0.0136039732239257
Reciprocated Edge Ratio : 0.0268427780144866
Connected Components : 375
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 2965
Maximum Edges in a Connected Component : 5505
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.467778
Graph Density : 0.000294625833978154
Modularity : 0.628215
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 3,992 Twitter users whose tweets in the requested range contained "#indigenous OR #aboriginal", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 00:29 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 18-hour, 11-minute period from Sunday, 22 March 2020 at 09:15 UTC to Wednesday, 25 March 2020 at 03:26 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 : #indigenous OR #aboriginal
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:
[2416] #indigenous,#tairp [1270] americanindian8,#indigenous [234] americanindian8,night [163] dakota,#indigenous [160] south,dakota [157] indigenous,thoughts [157] made,update [157] update,aztec [157] aztec,clothing [157] clothing,poster Top Word Pairs in Tweet in G1:
[2325] #indigenous,#tairp [1231] americanindian8,#indigenous [225] americanindian8,night [155] dakota,#indigenous [152] south,dakota [152] indigenous,thoughts [150] thoughts,#indigenous [148] 2020,indigenous [145] night,tatanka [145] tatanka,sunset Top Word Pairs in Tweet in G2:
[157] made,update [157] update,aztec [157] aztec,clothing [157] clothing,poster [157] poster,hope [157] hope,everyone [157] everyone,keeping [157] keeping,safe [157] safe,#aztec [157] #aztec,#nahua Top Word Pairs in Tweet in G3:
[18] lynlinking,robrobbedwards [18] robrobbedwards,anne_clothier [16] isolation,home [16] home,something [16] something,learn [16] learn,more [16] more,first [16] first,nation [16] nation,peoples [16] peoples,culture Top Word Pairs in Tweet in G4:
[15] #femi9,#missfemi9 [15] #missfemi9,#femi94life [15] #femi94life,#f94l [15] #f94l,#miss9 [15] #miss9,#digitalartist [15] #digitalartist,#digitalart [15] #digitalart,#indigenous [15] #wombscroll1,#wombmanhood [9] #indigenous,communities [9] #indigenous,#azania Top Word Pairs in Tweet in G5:
[38] virus,gets [38] gets,aboriginal [38] aboriginal,communities [38] communities,absolute [38] absolute,devastation [38] devastation,here's [38] here's,short [38] short,sharp [38] sharp,podcast [37] survival,virus Top Word Pairs in Tweet in G6:
[23] kristend,lowdog [23] lowdog,ashton [23] ashton,feels [23] feels,need [23] need,pray [23] pray,dance [23] dance,during [23] during,difficult [23] difficult,times [23] times,praying Top Word Pairs in Tweet in G7:
[123] northeast,india [95] #indigenous,peoples [94] manipur,northeast [93] single,ve [93] ve,#covidー19 [93] #covidー19,case [93] case,northeast [93] india,till [93] till,#indigenous [93] peoples,manipur Top Word Pairs in Tweet in G8:
[28] #indigenous,communities [26] around,world [25] world,moments [25] moments,crisis [25] crisis,used [25] used,continue [25] continue,colonialism [25] colonialism,under [25] under,cover [25] cover,disaster Top Word Pairs in Tweet in G9:
[70] risk,people [70] brother,#aboriginal [68] #aboriginal,chronically [68] chronically,ill [68] ill,incarcerated [67] people,#covid19 [67] #covid19,brother [66] als_nswact,risk [66] incarcerated,broth [9] #amazigh,identity Top Word Pairs in Tweet in G10:
[51] #indigenous,brothers [51] brothers,sisters [51] sisters,propose [51] propose,friday [51] friday,march [51] march,27 [51] 27,2020 [51] 2020,matter [51] matter,live [50] senatorbrazeau,#indigenous 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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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:
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: