The graph represents a network of 14,704 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 Sunday, 16 October 2022 at 12:25 UTC.
The tweets in the network were tweeted over the 2-day, 21-hour, 4-minute period from Thursday, 13 October 2022 at 13:02 UTC to Sunday, 16 October 2022 at 10:06 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 : 14704
Unique Edges : 26043
Edges With Duplicates : 6681
Total Edges : 32724
Number of Edge Types : 5
Retweet : 14592
Mentions : 4446
MentionsInRetweet : 10906
Tweet : 2279
Replies to : 501
Self-Loops : 2427
Reciprocated Vertex Pair Ratio : 0.0201657145019106
Reciprocated Edge Ratio : 0.0395341937398012
Connected Components : 1266
Single-Vertex Connected Components : 705
Maximum Vertices in a Connected Component : 11598
Maximum Edges in a Connected Component : 28739
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.628928
Graph Density : 0.000124721942780437
Modularity : 0.690909
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 14,704 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 Sunday, 16 October 2022 at 12:25 UTC.
The tweets in the network were tweeted over the 2-day, 21-hour, 4-minute period from Thursday, 13 October 2022 at 13:02 UTC to Sunday, 16 October 2022 at 10:06 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:
[1770] #climateemergency,#climate [1769] #actonclimate,#climateemergency [1660] #greennewdeal,#cop27 [1612] #climate,#nature [1610] #savethebees,#actonclimate [1610] bees,pollination [1610] animals,man [1610] man,life [1610] globe,man [1610] bees,disappear Top Word Pairs in Tweet in G1:
[1628] #climateemergency,#climate [1628] #actonclimate,#climateemergency [1501] #greennewdeal,#cop27 [1493] bees,disappear [1493] disappear,surface [1493] #nature,#greennewdeal [1493] surface,globe [1493] animals,man [1493] bees,pollination [1493] man,life Top Word Pairs in Tweet in G2:
[457] loss,damage [376] #climatejusticetorch,#oneafricaonevoice [288] climate,justice [288] climate,change [238] #africancop,#cop27 [224] blah,blah [224] #cop4africapeople,#cop27africanvoice [224] #cop27africanvoice,#africancop [217] fossil,fuels [216] #oneafricaonevoice,#climatejustice Top Word Pairs in Tweet in G3:
[242] climate,change [188] un,climate [136] executive,secretary [130] secretary,simonstiell [129] respect,borders [121] drastically,cut [120] cut,emissions [118] impact,lives [118] lives,people [118] world,leaders Top Word Pairs in Tweet in G4:
[1002] coca,cola [966] plastic,polluter [963] largest,plastic [963] million,tonnes [963] largest,climate [963] world,million [963] world's,largest [963] plastic,packaging [963] climate,conference [963] polluter,world Top Word Pairs in Tweet in G5:
[289] human,rights [138] #egypt,#cop27 [95] #cop27,call [95] arbitrarily,detained [93] #egypt,release [93] call,#egypt [84] climate,action [83] climate,summit [75] egypt,silenced [74] climate,justice Top Word Pairs in Tweet in G6:
[59] climate,change [44] experts,voices [44] voices,hosting [43] egypt,silenced [43] silenced,climate [43] climate,experts [42] المناخ,cop27 [39] hosting,cop27 [38] cop27,hrw [28] شرم,الشيخ Top Word Pairs in Tweet in G7:
[462] warning,systems [462] action,plan [459] weather,events [459] deadly,disasters [459] continue,happen [459] happen,deadly [459] disasters,#cop27 [459] events,continue [458] provide,warning [458] #cop27,launch Top Word Pairs in Tweet in G8:
[61] food,systems [57] systems,pavilion [52] international,organisations [45] pavilion,#cop27 [41] learn,pavilion [41] snvworld,international [41] updates,learn [41] sign,updates [31] #climateaction,#cop27 [30] #actiononfood,sign Top Word Pairs in Tweet in G9:
[97] president,akin_adesina [97] afdb_group,president [83] upcoming,#cop27 [82] november,#africacop [82] #egypt,november [82] dollars,monetized [82] #cop27,place [82] proposes,100m [82] monetized,close [82] place,#egypt Top Word Pairs in Tweet in G10:
[136] sign,petition [110] king,charles [105] cop27,#cop27 [105] speak,cop27 [104] petition,ukchange [103] charles,speak [86] #cop27,sign [56] coca,cola [55] sponsors,cop27 [54] cola,sponsors Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: