The graph represents a network of 14,866 Twitter users whose recent tweets contained "#COP26", 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 Thursday, 07 October 2021 at 15:28 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 58-minute period from Wednesday, 06 October 2021 at 07:56 UTC to Thursday, 07 October 2021 at 13:54 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 : 14866
Unique Edges : 27552
Edges With Duplicates : 9983
Total Edges : 37535
Number of Edge Types : 5
Retweet : 12571
MentionsInRetweet : 14870
Mentions : 5847
Tweet : 3733
Replies to : 514
Self-Loops : 3877
Reciprocated Vertex Pair Ratio : 0.0274437029370829
Reciprocated Edge Ratio : 0.0534213268496006
Connected Components : 1324
Single-Vertex Connected Components : 597
Maximum Vertices in a Connected Component : 11469
Maximum Edges in a Connected Component : 33122
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.224893
Graph Density : 0.000130281461807779
Modularity : 0.66654
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 14,866 Twitter users whose recent tweets contained "#COP26", 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 Thursday, 07 October 2021 at 15:28 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 58-minute period from Wednesday, 06 October 2021 at 07:56 UTC to Thursday, 07 October 2021 at 13:54 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 : #COP26
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:
[1685] climate,change [1548] #cop26,#cop26glasgow [1479] times,#climateemergency [1479] #climateemergency,#scotradar [1479] #scotradar,#cop26 [1303] scottish,government [1195] vaccine,passports [1122] ahead,#cop26 [872] #unknown,#unknown [836] #unknown,alt Top Word Pairs in Tweet in G1:
[274] ahead,#cop26 [271] climate,change [191] climate,action [143] #cop26,#togetherforourplanet [108] faith,leaders [106] action,ahead [103] cop,president [102] monday,pontifex [102] pontifex,handed [102] handed,aloksharma_rdg Top Word Pairs in Tweet in G2:
[166] ahead,#cop26 [164] #climatechange,#cop26 [128] climate,change [110] #cop26,#climatecrisis [86] climate,emergency [84] #cop26,#auspol [83] emergency,code [83] code,red [83] red,humanity [83] humanity,fact Top Word Pairs in Tweet in G3:
[171] climate,change [163] world,leaders [124] ahead,#cop26 [89] #cop26,approaches [86] human,rights [86] climate,justice [80] keep,#offsetsoffthetable [80] climate,talks [79] carbon,offsets [76] change,#cop26 Top Word Pairs in Tweet in G4:
[1256] scottish,government [1178] vaccine,passports [593] 30,000 [591] delegates,arriving [589] despite,scottish [589] government,enforcing [589] enforcing,vaccine [589] passports,citizens [589] citizens,30 [589] 000,#cop26 Top Word Pairs in Tweet in G5:
[41] climate,crisis [39] climate,change [29] #fairtrade,farmers [29] sign,support [29] climate,justice [27] time,politicians [27] politicians,cop26 [27] cop26,listen [27] listen,expertise [27] expertise,8m Top Word Pairs in Tweet in G6:
[58] paris,agreement [55] time,#cop26 [48] more,#cop26 [48] #cop26,re [47] divest,defund [47] defund,abolish [47] abolish,oil [47] oil,companies [47] companies,finish [47] finish,rid Top Word Pairs in Tweet in G7:
[75] lead,#cop26 [74] look,forward [70] world,leaders [68] youth,perspectives [68] perspectives,youth [68] youth,voices [68] held,1st [68] 1st,'youth [68] 'youth,holhuashi' [68] holhuashi',dialogue Top Word Pairs in Tweet in G8:
[133] fossil,fuel [130] fuel,industry [129] industry,gets [129] gets,subsidies [128] craziest,thing [128] thing,#climatecrisis [128] #climatecrisis,subsidising [128] subsidising,gt [128] gt,fossil [128] subsidies,11m Top Word Pairs in Tweet in G9:
[74] world,leaders [55] #redalertonclimate,#hawakerakshak [46] climate,change [42] ahead,#cop26 [40] make,sure [39] reduce,emissions [37] 26,days [37] days,away [37] away,#cop26 [37] #cop26,lot Top Word Pairs in Tweet in G10:
[172] fossil,fuels [170] turn,tap [119] future,#cop26 [87] year,old [85] shocking,urgently [85] urgently,turn [85] tap,subsidies [85] subsidies,fossil [85] fuels,turn [85] tap,investment 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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