The graph represents a network of 6,195 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 Friday, 30 October 2020 at 01:11 UTC.
The requested start date was Thursday, 29 October 2020 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 3-day, 9-hour, 10-minute period from Sunday, 25 October 2020 at 14:45 UTC to Wednesday, 28 October 2020 at 23:55 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 : 6195
Unique Edges : 3094
Edges With Duplicates : 13445
Total Edges : 16539
Number of Edge Types : 5
Retweet : 6017
MentionsInRetweet : 7625
Mentions : 1682
Tweet : 1083
Replies to : 132
Self-Loops : 1158
Reciprocated Vertex Pair Ratio : 0.0160749231199329
Reciprocated Edge Ratio : 0.0316412161232632
Connected Components : 759
Single-Vertex Connected Components : 324
Maximum Vertices in a Connected Component : 3857
Maximum Edges in a Connected Component : 12736
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.314549
Graph Density : 0.000189435843951149
Modularity : 0.427109
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,195 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 Friday, 30 October 2020 at 01:11 UTC.
The requested start date was Thursday, 29 October 2020 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 3-day, 9-hour, 10-minute period from Sunday, 25 October 2020 at 14:45 UTC to Wednesday, 28 October 2020 at 23:55 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:
[2413] #indigenous,#tairp [1339] americanindian8,#indigenous [189] ponyo,really [189] really,became [189] became,human [189] human,hehe [189] hehe,another [189] another,ghibli [189] ghibli,redraw [189] redraw,time Top Word Pairs in Tweet in G1:
[2372] #indigenous,#tairp [1323] americanindian8,#indigenous [170] americanindian8,10 [149] sitting,red [149] red,bird [149] bird,guardian [149] guardian,think [149] think,image [149] image,sign [149] sign,telling Top Word Pairs in Tweet in G2:
[104] anti,indigenous [73] indigenous,sentiment [72] calling,opp_wr [72] opp_wr,oppcommissioner [72] oppcommissioner,remove [72] remove,inflammatory [72] inflammatory,twitter [72] twitter,magnifying [72] magnifying,anti [71] sarahn3t,calling Top Word Pairs in Tweet in G3:
[15] #indigenous,communities [11] #indigenous,people [9] #indigenous,peoples [8] #nativeamerican,#indigenous [8] #indigenous,#firstnations [8] djab,wurrung [8] micro,#communities [8] #communities,sector [7] anger,over [7] over,sacred Top Word Pairs in Tweet in G4:
[189] ponyo,really [189] really,became [189] became,human [189] human,hehe [189] hehe,another [189] another,ghibli [189] ghibli,redraw [189] redraw,time [189] time,drew [189] drew,background Top Word Pairs in Tweet in G5:
[19] around,world [19] vanessafiji,chunhuams [19] chunhuams,aussieneets [19] aussieneets,russellmoxham [19] russellmoxham,debbie_spirit [19] debbie_spirit,samcoyi [19] samcoyi,drbirute [19] drbirute,coolrunning2009 [19] coolrunning2009,blueseas111 [17] #indigenous,peoples Top Word Pairs in Tweet in G6:
[75] names,report [75] report,#complicityindestruction [75] #complicityindestruction,firms [72] firms,companies [72] companies,tied [71] joining,apiboficial [71] apiboficial,drop [71] drop,names [69] amazonwatch,joining [27] musicians,taking Top Word Pairs in Tweet in G7:
[43] cut,down [42] text,one [42] one,sacred [42] sacred,#djabwurrung [42] #djabwurrung,#trees [42] #trees,cut [42] down,danielandrewsmp [42] danielandrewsmp,using [42] using,cover [42] cover,#covid19vic Top Word Pairs in Tweet in G8:
[136] see,way [136] way,falz [136] falz,schooled [136] schooled,dis [136] dis,video [136] video,#endbadgoveranceinnigeria [136] #endbadgoveranceinnigeria,#endsars [136] #endsars,#buharihasbeenabadboy [136] #buharihasbeenabadboy,#indigenous [136] #indigenous,kabusa Top Word Pairs in Tweet in G9:
[25] pronounce,mi'kmaq [25] mi'kmaq,sipekne'katik [25] sipekne'katik,míkmawísimk [25] míkmawísimk,mi'kmaw [25] mi'kmaw,language [25] language,words [25] words,seeing [24] aerin_j,pronounce [24] seeing,day [23] boreal,forest Top Word Pairs in Tweet in G10:
[82] #colombia,nearly [82] nearly,625 [82] 625,#indigenous [82] #indigenous,families [82] families,living [82] living,#leticiaamazonas [82] #leticiaamazonas,violently [82] violently,evicted [82] evicted,police [82] police,amid Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: