The graph represents a network of 7,929 Twitter users whose recent tweets contained "cop27", 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 Monday, 29 August 2022 at 06:00 UTC.
The tweets in the network were tweeted over the 6-day, 1-hour, 4-minute period from Tuesday, 23 August 2022 at 01:46 UTC to Monday, 29 August 2022 at 02:51 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 : 7929
Unique Edges : 17318
Edges With Duplicates : 10070
Total Edges : 27388
Number of Edge Types : 5
Retweet : 9245
Tweet : 1937
MentionsInRetweet : 12631
Replies to : 483
Mentions : 3092
Self-Loops : 2086
Reciprocated Vertex Pair Ratio : 0.0207908026216826
Reciprocated Edge Ratio : 0.0407346981737803
Connected Components : 815
Single-Vertex Connected Components : 510
Maximum Vertices in a Connected Component : 6074
Maximum Edges in a Connected Component : 24821
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.72919
Graph Density : 0.000302269549415543
Modularity : 0.565491
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,929 Twitter users whose recent tweets contained "cop27", 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 Monday, 29 August 2022 at 06:00 UTC.
The tweets in the network were tweeted over the 6-day, 1-hour, 4-minute period from Tuesday, 23 August 2022 at 01:46 UTC to Monday, 29 August 2022 at 02:51 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 : cop27
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:
[1897] climate,change [1304] #greenlegacy,#cop27 [670] ahead,cop27 [667] #youngfeministvoices,#cop27 [543] climate,justice [504] net,zero [463] global,warming [444] investors,inspire [444] inspire,more [444] more,countries Top Word Pairs in Tweet in G1:
[278] climate,change [209] libreville,gabon [181] ahead,#cop27 [150] high,level [139] stay,tuned [128] #africaclimateweek,2022 [127] road,#cop27 [127] climate,justice [115] climate,finance [112] global,climate Top Word Pairs in Tweet in G2:
[1240] #greenlegacy,#cop27 [476] climate,change [215] co2,annually [160] climate,resilience [160] once,completed [160] project,expected [160] expected,generate [160] generate,460 [160] 460,giga [160] giga,watt Top Word Pairs in Tweet in G3:
[631] #youngfeministvoices,#cop27 [606] climate,change [309] climate,justice [204] #cop27,#youngfeministvoices [173] oxfaminuganda,oxfameafrica [149] #cop27,oxfam [146] young,people [145] gender,justice [140] oxfam,oxfaminuganda [131] climate,crisis Top Word Pairs in Tweet in G4:
[58] climate,change [56] المناخ,cop27 [43] climate,summit [39] cop27,climate [36] egyptian,ngos [36] ngos,complain [36] complain,being [36] being,shut [35] shut,cop27 [27] ahead,cop27 Top Word Pairs in Tweet in G5:
[439] net,zero [429] investors,inspire [429] inspire,more [429] more,countries [420] right,signal [420] signal,investors [419] ahead,cop27 [417] moving,toward [417] toward,net [417] zero,economy Top Word Pairs in Tweet in G6:
[271] countries,suffered [271] suffered,record [271] record,breaking [269] climate,impacts [269] impacts,need [268] bit,global [268] global,warming [266] breaking,#heat [266] #heat,year [266] year,bit Top Word Pairs in Tweet in G7:
[190] human,rights [116] egyptian,ngos [85] egyptian,government [71] attending,cop27 [70] climate,change [66] ngos,shut [66] #egypt,#cop27 [59] five,leading [59] leading,egyptian [59] shut,attending Top Word Pairs in Tweet in G8:
[89] global,warming [39] climate,change [34] 26,cops [31] stop,global [23] stops,climate [21] emission,mission [21] mission,imposible [21] warming,cop27 [20] reduce,earth [20] earth,temp Top Word Pairs in Tweet in G9:
[156] #peoplenotprofit,#fridaysforfuture [156] #cop27,gretathunberg [154] #climatecrisis,#climateactionnow [154] #climateactionnow,#peoplenotprofit [154] #fridaysforfuture,#bagladesh [154] #bagladesh,#cop27 [152] strike,#climatejustice [152] #activistabd,#climatecrisis [152] gretathunberg,saleemulhuq2 [152] saleemulhuq2,n_a_miraz Top Word Pairs in Tweet in G10:
[42] food,systems [38] climate,change [37] #climateaction,#environment [32] loss,damage [29] #environment,#humanitarian [29] #humanitarian,#cop27 [28] links,humanitarian [28] humanitarian,action [26] systems,pavilion [23] webinar,understanding Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: