The graph represents a network of 6 047 Twitter users whose recent tweets contained "Ecocide", 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 Sunday, 03 October 2021 at 16:48 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 26-minute period from Friday, 24 September 2021 at 13:41 UTC to Sunday, 03 October 2021 at 16:08 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 : 6047
Unique Edges : 10396
Edges With Duplicates : 7755
Total Edges : 18151
Number of Edge Types : 5
Replies to : 1844
MentionsInRetweet : 5803
Mentions : 4599
Retweet : 4960
Tweet : 945
Self-Loops : 1178
Reciprocated Vertex Pair Ratio : 0,0115381278736879
Reciprocated Edge Ratio : 0,0228130360205832
Connected Components : 501
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 4495
Maximum Edges in a Connected Component : 16151
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5,160326
Graph Density : 0,000318926376748549
Modularity : 0,572638
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6 047 Twitter users whose recent tweets contained "Ecocide", 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 Sunday, 03 October 2021 at 16:48 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 26-minute period from Friday, 24 September 2021 at 13:41 UTC to Sunday, 03 October 2021 at 16:08 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 : Ecocide
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[492] driven,profit [492] inequality,ecocide [491] exploitation,inequality [490] behavior,driven [490] rise,exploitation [490] ecocide,militarism [489] #whaling,#boycottfaroeislands [489] profit,necessarily [489] necessarily,see [488] system,human Top Word Pairs in Tweet in G1:
[472] inequality,ecocide [471] system,human [471] human,behavior [471] behavior,driven [471] driven,profit [471] see,steadily [471] steadily,mounting [471] mounting,rise [471] rise,exploitation [471] exploitation,inequality Top Word Pairs in Tweet in G2:
[67] international,crime [41] #ecocide,international [41] legal,definition [40] senator,raulpazmx [40] serious,crime [40] definition,ecocide [39] crime,mexico [39] expert,panel [36] stop,ecocide [36] great,news Top Word Pairs in Tweet in G3:
[487] #whaling,#boycottfaroeislands [424] #ecocide,#opbloodyfjords [423] #opbloodyfjords,#whaling [329] #dolphins,#stopthegrind [313] #stopthegrind,#faroeislands [313] #faroeislands,#animalcruelty [298] #animalcruelty,#dkpol [292] #dkpol,#seaspiracy [288] #grindadrap,#seashepherd [271] #boycottfaroeislands,#boycottdenmark Top Word Pairs in Tweet in G4:
[195] damage,environment [194] unlawful,wanton [194] wanton,acts [194] acts,committed [194] committed,knowledge [194] knowledge,substantial [194] substantial,likelihood [194] likelihood,severe [194] severe,widespread [194] widespread,long Top Word Pairs in Tweet in G5:
[206] join,#boycott4wildlife [191] #illegal,#landgrabbing [183] #boycott4wildlife,protest [183] protest,wallet [183] wallet,palmoildetect [176] #landgrabbing,join [144] #deforestation,#ecocide [142] #boycottpalmoil,#boycott4wildlife [133] #palmoil,certified [124] #extinction,#ecocide Top Word Pairs in Tweet in G6:
[44] far,doctrine [44] doctrine,discovery [44] discovery,still [44] still,being [44] being,held [44] held,forced [44] forced,assimilation [44] assimilation,rcmp [44] rcmp,violence [44] violence,murder Top Word Pairs in Tweet in G7:
[159] operation,ecocide [126] crime,ecocide [126] potus,vp [120] innocent,ppl [114] #tplfterroristgroup,kills [114] kills,innocent [114] ppl,destroys [114] destroys,infrastructures [114] infrastructures,kills [114] kills,animals Top Word Pairs in Tweet in G8:
[18] international,crime [12] climate,connections [8] ecocide,become [8] become,international [7] genocide,ecocide [7] legal,experts [7] stop,ecocide [7] make,ecocide [7] ecocide,international [6] climate,change Top Word Pairs in Tweet in G9:
[20] #lanecovecouncil,#ecocide [18] #ecocide,#wildlifekillers [16] ecocide,well [16] well,documented [13] abcnews,guardianaus [13] smh,scottmorrisonmp [13] australia,changeaus [11] sussanley,brisbanetimes [11] brisbanetimes,abcnews [11] guardianaus,qldpolice Top Word Pairs in Tweet in G10:
[62] #greenwashing,#fridaysforfuture [62] #fridaysforfuture,#climatechange [62] #uprootthesystem,#extinctionrebellion [62] look,called [62] called,clean [62] clean,energy [62] energy,doing [62] doing,ecocide [62] ecocide,happen [62] happen,resist Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: