The graph represents a network of 9,461 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 Monday, 24 October 2022 at 09:52 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 38-minute period from Saturday, 15 October 2022 at 14:55 UTC to Monday, 24 October 2022 at 08:34 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 : 9461
Unique Edges : 32853
Edges With Duplicates : 31016
Total Edges : 63869
Number of Edge Types : 5
Retweet : 8133
MentionsInRetweet : 35354
Mentions : 17512
Replies to : 2789
Tweet : 81
Self-Loops : 228
Reciprocated Vertex Pair Ratio : 0.0229811763505586
Reciprocated Edge Ratio : 0.0449298127508914
Connected Components : 38
Single-Vertex Connected Components : 28
Maximum Vertices in a Connected Component : 9404
Maximum Edges in a Connected Component : 63801
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.512022
Graph Density : 0.000448117597713368
Modularity : 0.414795
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 9,461 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 Monday, 24 October 2022 at 09:52 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 38-minute period from Saturday, 15 October 2022 at 14:55 UTC to Monday, 24 October 2022 at 08:34 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:
[1439] climate,change [1107] #showusthemoney,#lossanddamage [1047] petition,urging [710] g20org,cop27p [692] cop27p,fffafrica54 [678] riseupmovt,cop27p [651] alsisiofficial,cop27p [646] climate,finance [595] stand,solidarity [574] loss,damage Top Word Pairs in Tweet in G1:
[700] g20org,cop27p [612] climate,change [367] suzanne_gl,cop27p [327] save,lives [304] josepborrellf,cop27p [291] hunger,crisis [291] leadership,critical [286] african,youth [196] climate,action [193] de,la Top Word Pairs in Tweet in G2:
[1101] #showusthemoney,#lossanddamage [691] cop27p,fffafrica54 [675] riseupmovt,cop27p [532] fffmapa,fridays4future [511] climate,finance [419] fridays4future,riseupmovt [416] climate,change [397] #lossanddamage,fffmapa [351] #lossanddamage,riseupmovt [336] loss,damage Top Word Pairs in Tweet in G3:
[170] climate,change [114] unfccc,cop27p [84] climate,action [79] climate,justice [78] وزير,الخارجية [72] climate,finance [64] regional,forum [61] sharm,el [61] stand,solidarity [60] cop27p,anne_tek Top Word Pairs in Tweet in G4:
[921] petition,urging [569] alsisiofficial,cop27p [467] cop27p,#freethemall [465] urging,alsisiofficial [464] detained,#cop27 [464] prisoners,conscience [463] sign,petition [462] arbitrarily,detained [461] solidarity,prisoners [461] open,civic Top Word Pairs in Tweet in G5:
[142] cop27p,cop26 [142] leodicaprio,susansarandon [142] johnkerry,cop27p [142] algore,johnkerry [142] benfogle,leodicaprio [138] nuernueropa,michelle_rspo [138] simaactor,christa26930016 [138] ruhithallon,gary_chandler [138] danielle_elwood,debbie_spirit [138] nicolasnicola22,junagarhmedia Top Word Pairs in Tweet in G6:
[37] de,la [37] la,cop27p [28] et,les [25] alioumdia,pnudtogo [24] du,togo [24] togo,la [23] les,jeunes [21] climate,change [19] earthlife,mchiponda [19] eco_officiall,tshepa_m Top Word Pairs in Tweet in G7:
[72] cop27p,sdgaction [72] youtube,ifeomacnnamani [72] dzennypha,rosekeffas_g [72] ekelejiata,climatewed [72] olumideidowu,nomoreslaves [72] undpnigeria,worldbank [72] usinnigeria,iomatau [72] climatewed,wbg_climate [72] rosekeffas_g,sdgs4good [72] bookfisayo,lgafrica1 Top Word Pairs in Tweet in G8:
[31] climate,change [14] wwfzambia,nachilala [14] conference,youths [14] supported,wearevca [14] local,conference [14] zambian,youths [14] youths,climate [13] change,crisis [13] crisis,supported [13] youth,roadmap Top Word Pairs in Tweet in G9:
[65] food,systems [38] role,cgiar [37] cop27p,crafteastafrica [37] tveitdal,ntemid [37] plans,cop27p [37] cop27p,role [35] #npsinitiative,#onecgiar [34] pavilion,cop27p [34] ifpri,icarda [33] crafteastafrica,leading Top Word Pairs in Tweet in G10:
[41] la,cop27p [24] de,la [21] pour,le [19] jeunesse,de [19] #rdc,marche [19] de,#goma [19] le,soutien [17] soutiennent,la [17] #rdc,une [16] rendez,vous 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: