The graph represents a network of 7,094 Twitter users whose recent tweets contained "cop27p", 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, 16 October 2022 at 19:26 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 10-minute period from Friday, 07 October 2022 at 23:40 UTC to Sunday, 16 October 2022 at 18:51 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 : 7094
Unique Edges : 22746
Edges With Duplicates : 15420
Total Edges : 38166
Number of Edge Types : 5
Replies to : 1910
Mentions : 13733
MentionsInRetweet : 18054
Retweet : 4334
Tweet : 135
Self-Loops : 203
Reciprocated Vertex Pair Ratio : 0.0228930535293458
Reciprocated Edge Ratio : 0.0447613823368075
Connected Components : 57
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 6984
Maximum Edges in a Connected Component : 38007
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.632138
Graph Density : 0.000543446484542172
Modularity : 0.460199
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 7,094 Twitter users whose recent tweets contained "cop27p", 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, 16 October 2022 at 19:26 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 10-minute period from Friday, 07 October 2022 at 23:40 UTC to Sunday, 16 October 2022 at 18:51 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 : cop27p
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:
[937] climate,change [484] climate,crisis [393] loss,damage [349] g20org,cop27p [308] cop27p,unfccc [250] trussliz,justintrudeau [248] damage,support [247] g20org,eucouncil [247] cop27p,vonderleyen [247] vonderleyen,trussliz Top Word Pairs in Tweet in G1:
[287] climate,change [235] josepborrellf,cop27p [210] suzanne_gl,cop27p [176] coca,cola [163] de,la [143] saddened,terrible [135] weeks,cop27p [135] 500,people [134] fight,clock [134] fight,climate Top Word Pairs in Tweet in G2:
[320] climate,change [144] climate,crisis [111] cop27p,unfccc [97] unfccc,cop27p [95] young,people [88] voices,heard [86] climate,justice [83] unfccc,antonioguterres [79] loss,damage [79] heard,cop27p Top Word Pairs in Tweet in G3:
[119] climate,change [51] climate,action [41] egypt,cop27p [41] un,climate [41] sustaining,#peace [39] #climateresponses,sustaining [39] cocacola,cocacolaco [35] 200,orgs [33] #peace,#crsp [33] heads,delegation Top Word Pairs in Tweet in G4:
[343] g20org,cop27p [247] g20org,eucouncil [247] cop27p,vonderleyen [247] eucouncil,cop27p [247] vonderleyen,trussliz [246] trussliz,justintrudeau [246] climate,crisis [245] devastation,worsens [245] passing,scale [245] frontlines,climate Top Word Pairs in Tweet in G5:
[40] climate,change [28] indiawaterweek,cop27p [23] cop27p,unfccc [17] lecture,series [14] change,impacts [14] climate,development [14] synergies,trade [14] development,synergies [14] distinguished,lecture [14] trade,offs Top Word Pairs in Tweet in G6:
[18] cop27p,sdgaction [18] victoryashaka,haomaworgwu [18] youtube,ifeomacnnamani [18] cycdi_ng,un [18] dzennypha,rosekeffas_g [18] ekelejiata,climatewed [18] olumideidowu,nomoreslaves [18] undpnigeria,worldbank [18] usinnigeria,iomatau [18] climatewed,wbg_climate Top Word Pairs in Tweet in G7:
[109] xrebellionuk,cop27p [107] extinctionr,media_xr [106] media_xr,xrebellionuk [106] cop26p,usinnigeria [106] ukinnigeria,fmenvng [106] cop27p,cop26p [106] usinnigeria,ukinnigeria [100] climate,change [97] africa,feeling [97] structure,major Top Word Pairs in Tweet in G8:
[23] algore,johnkerry [23] leodicaprio,susansarandon [20] cop27p,cop26 [19] johnkerry,cop27p [17] georgecmcgavin,algore [15] reallyraviverma,climatebabes [15] boycottpalmoil,reallyraviverma [15] cop26,boycottpalmoil [15] ofiorangutan,orangutan2 [15] drbirute,palmoildetect Top Word Pairs in Tweet in G9:
[6] #ukraine,#climatecrisis [6] ukrainians,suffer [6] #conflict,cop27p [6] penshark,#ukrainian [6] #humanrights,centre [6] president,onuigbosi [6] proud,publish [6] globe_intl,proud [6] globe_nigeria,president [6] torment,#ukrainerussianwar Top Word Pairs in Tweet in G10:
[95] alexand99589931,voicetopeople [95] thakrarkhelan,fff_jour [95] midcoast_knag,arubafaruque [95] voicetopeople,arifismail0 [95] arubafaruque,f4fystrikers [95] kabilaobbo,kaynair [95] anthonygleeson4,kabilaobbo [95] fff_aus,sdg13un [95] ibraheemlass,tomstweeters [95] fff_jour,vinnisha8848 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: