The graph represents a network of 17,674 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 Wednesday, 11 January 2023 at 12:56 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 58-minute period from Sunday, 01 January 2023 at 21:30 UTC to Wednesday, 11 January 2023 at 09:28 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 : 17674
Unique Edges : 24212
Edges With Duplicates : 6429
Total Edges : 30641
Number of Edge Types : 5
Retweet : 14895
Replies to : 702
MentionsInRetweet : 8432
Mentions : 4090
Tweet : 2522
Self-Loops : 2679
Reciprocated Vertex Pair Ratio : 0.0122783083219645
Reciprocated Edge Ratio : 0.0242587601078167
Connected Components : 1767
Single-Vertex Connected Components : 791
Maximum Vertices in a Connected Component : 6637
Maximum Edges in a Connected Component : 17460
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.49857
Graph Density : 7.83921755196392E-05
Modularity : 0.74175
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 17,674 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 Wednesday, 11 January 2023 at 12:56 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 58-minute period from Sunday, 01 January 2023 at 21:30 UTC to Wednesday, 11 January 2023 at 09:28 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:
[4797] climate,change [3664] private,jet [3653] jet,ก [3653] ง,private [3649] ว,จารณ [3649] งตอน,#cop27 [3649] วแทนน,ง [3649] นประช,มเร [3649] น,กถ [3649] คนก,ไปเจอใน Top Word Pairs in Tweet in G1:
[3326] private,jet [3326] ง,private [3326] jet,ก [3322] ก,นมา [3322] radar,ว [3322] วแทนน,ง [3322] คนก,ไปเจอใน [3322] กถ,งตอน [3322] าต,วแทนน [3322] งตอน,#cop27 Top Word Pairs in Tweet in G2:
[3315] ม,cop27 [3314] ตอนน,ศ [3314] ท,ต [3314] าอวดแล,วในย [3314] กอวยไพรเวทเจ,ทก [3314] รอดเลย,ประช [3314] วร,ลงหมด [3314] ประช,ม [3314] งไพรเวทเจ,ท [3314] โดนด,าเร Top Word Pairs in Tweet in G3:
[309] climate,change [213] loss,damage [156] challenges,prospects [156] prospects,opportunities [131] opportunities,nigeria [93] meeting,topic [93] registration,link [93] central,africa [93] inviting,scheduled [93] 10,00 Top Word Pairs in Tweet in G4:
[104] climate,change [80] サステナブルアンバサダーになった方には,アマギフ1万円分を差し上げます [80] #限定,#岸田 [80] #岸田,#国会 [80] #気候変動,#お金 [80] アマギフ1万円分を差し上げます,ヒントは [80] 今日のイベント,#cop27 [80] #cop27,#大阪万博 [80] ヒントは,今日のイベント [80] #国会,#sdgs Top Word Pairs in Tweet in G5:
[687] de,la [612] la,#cop27 [597] #cop28,c'est [597] le,président [597] gros,groupes [597] les,lobbyistes [597] pétroliers,qui [597] une,réunion [597] compagnies,pétrolières [597] des,gros Top Word Pairs in Tweet in G6:
[449] #cleanairforall,#theairweshare [449] #cop27,#cleanairforall [186] read,#cop27 [140] #theairweshare,wbg_climate [135] premature,deaths [135] million,premature [121] deaths,largely [121] increased,mortality [121] stroke,heart [121] obstructive,pulmonary Top Word Pairs in Tweet in G7:
[272] foreign,minister [265] international,community [263] pledging,10billion [263] diplomatic,successes [263] conference,pledging [263] responded,positively [263] community,responded [263] 10billion,rebuilding [253] minister,bbhuttozardari [251] bbhuttozardari,won Top Word Pairs in Tweet in G8:
[371] en,la [364] la,#cop27 [321] de,la [193] de,venezuela [140] en,el [127] la,cop27 [118] todos,los [112] de,estado [103] parte,de [102] del,mundo Top Word Pairs in Tweet in G9:
[236] また日本だけ騙されてるのか,sdgsとかecoとかも茶番過ぎるだろ [236] sdgsとかecoとかも茶番過ぎるだろ,気付け日本人 [236] 欧米はそもそもガソリン車無くす気無いだろ,日本だけクソ真面目co2減らしてcop27ではまさかの化石賞受賞 [236] 日本だけクソ真面目co2減らしてcop27ではまさかの化石賞受賞,また日本だけ騙されてるのか Top Word Pairs in Tweet in G10:
[41] therealnumber6,risepdx [41] mlczone,npsusa [41] profstrachan,01000011cs [41] raduede,tecgale [41] #climateaction,#carbon [41] npsusa,iwantmynbn [41] pegb_,saleemulhuq [41] risepdx,jackthelad1947 [41] jukkapseppl,lillith6 [41] tecgale,mariansmedley Top Replied-To in Entire Graph:
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 G10:
Top Mentioned in Entire Graph:
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 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: