The graph represents a network of 17,636 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 Saturday, 12 November 2022 at 20:13 UTC.
The tweets in the network were tweeted over the 2-hour, 6-minute period from Saturday, 12 November 2022 at 15:55 UTC to Saturday, 12 November 2022 at 18:02 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 : 17636
Unique Edges : 28775
Edges With Duplicates : 8390
Total Edges : 37165
Number of Edge Types : 5
Retweet : 14592
MentionsInRetweet : 11145
Mentions : 6280
Tweet : 4497
Replies to : 651
Self-Loops : 4607
Reciprocated Vertex Pair Ratio : 0.0122541229650034
Reciprocated Edge Ratio : 0.0242115545632152
Connected Components : 2316
Single-Vertex Connected Components : 1036
Maximum Vertices in a Connected Component : 11986
Maximum Edges in a Connected Component : 30100
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.370825
Graph Density : 9.21639842415792E-05
Modularity : 0.694658
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 17,636 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 Saturday, 12 November 2022 at 20:13 UTC.
The tweets in the network were tweeted over the 2-hour, 6-minute period from Saturday, 12 November 2022 at 15:55 UTC to Saturday, 12 November 2022 at 18:02 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1642] climate,change [1296] la,#cop27 [1201] de,la [1078] en,la [726] private,jets [685] fossil,fuels [669] climate,justice [666] sharm,el [623] el,sheikh [564] world,leaders Top Word Pairs in Tweet in G1:
[491] climate,change [208] climate,justice [204] climate,crisis [164] world,leaders [155] global,action [153] pavilion,#cop27 [149] sharm,el [134] el,sheikh [132] fossil,fuels [122] climate,action Top Word Pairs in Tweet in G2:
[155] climate,justice [94] human,rights [90] political,prisoners [89] #freealaa,#freethemall [86] la,#cop27 [78] #cop27,#archive [78] #archive,read [71] president,sisi [70] meat,dairy [69] joejgoodman,#cop27 Top Word Pairs in Tweet in G3:
[88] climate,change [68] la,cop27 [52] de,la [47] private,jets [41] #قمة_المناخ_مصر_٢٠٢٢,#شباب_مصر [40] climate,conference [40] #شباب_مصر,#egypt_cop27 [40] en,la [39] un,climate [35] 400,private Top Word Pairs in Tweet in G4:
[199] bankrupt,scale [199] scale,farmers [199] global,food [199] system,global [199] project,bankrupt [199] stand,farmers [199] food,production [199] production,controlled [199] wef,cop27 [199] future,stand Top Word Pairs in Tweet in G5:
[212] coca,cola [207] sponsored,coca [206] 120,billion [206] plastic,bottles [206] produce,120 [201] billion,plastic [197] private,jets [192] private,jet [192] save,planet [190] plebs,save Top Word Pairs in Tweet in G6:
[135] la,#cop27 [119] en,la [101] el,canciller [99] canciller,m_ebrard [89] ca4sh_global,unccd [87] unccd,lawinowiecki [84] soil,#cop27 [82] lawinowiecki,cpsavesoil [82] cifor,ca4sh_global [81] #savesoil,happen Top Word Pairs in Tweet in G7:
[264] #climate,#energy [262] time,waste [261] #actonclimate,#climateemergency [259] #climateemergency,#climate [250] #greennewdeal,#cop27 [225] #solar,#wind [225] waste,planet [225] #energy,#tech [225] fail,act [225] business,usual Top Word Pairs in Tweet in G8:
[87] resumo,da [85] cargo,apareceu [85] uma,empresa [85] mma,até [85] sim,isso [85] largou,cargo [85] vc,leu [85] mulher,era [85] apareceu,cop [85] desgoverno,mulher Top Word Pairs in Tweet in G9:
[83] rex,murphy [81] oil,gas [79] cop27's,great [79] pyramid,scheme [79] great,pyramid [75] murphy,cop27's [66] private,jets [65] expert,climate [64] thing,ctv [64] shoe,tying Top Word Pairs in Tweet in G10:
[87] en,la [74] la,#cop27 [41] de,la [37] de,los [31] la,crisis [31] en,el [30] con,la [28] para,enfrentar [28] climate,change [27] para,el 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: