The graph represents a network of 15,492 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 Monday, 03 October 2022 at 13:05 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 16-minute period from Sunday, 02 October 2022 at 08:56 UTC to Monday, 03 October 2022 at 10:13 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 : 15492
Unique Edges : 24481
Edges With Duplicates : 3077
Total Edges : 27558
Number of Edge Types : 5
Retweet : 14864
MentionsInRetweet : 6706
Tweet : 2309
Replies to : 1011
Mentions : 2668
Self-Loops : 2458
Reciprocated Vertex Pair Ratio : 0.00572737686139748
Reciprocated Edge Ratio : 0.0113895216400911
Connected Components : 1570
Single-Vertex Connected Components : 1068
Maximum Vertices in a Connected Component : 12604
Maximum Edges in a Connected Component : 24342
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.190519
Graph Density : 9.87805267704728E-05
Modularity : 0.722609
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 15,492 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 Monday, 03 October 2022 at 13:05 UTC.
The tweets in the network were tweeted over the 1-day, 1-hour, 16-minute period from Sunday, 02 October 2022 at 08:56 UTC to Monday, 03 October 2022 at 10:13 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:
[7667] king,charles [2929] liz,truss [2806] climate,change [2067] charles,iii [1760] attend,cop27 [1616] soft,power [1553] stay,cop27 [1512] charles,attend [1327] cop27,climate [1266] truss,told Top Word Pairs in Tweet in G1:
[809] king,charles [670] royal,source [667] attending,#cop27 [659] depressing,trussliz [659] trussliz,malign [659] malign,influence [659] influence,royal [659] source,think [659] think,carefully [659] carefully,steps Top Word Pairs in Tweet in G2:
[210] de,la [198] climate,change [186] #cop27,#ethiopiacop27 [98] takes,place [96] closer,#cop27 [94] inch,closer [94] #cop27,week [94] week,precop27rdc [94] precop27rdc,takes [94] place,#kinshasa Top Word Pairs in Tweet in G3:
[1677] king,charles [716] truss,told [671] charles,iii [509] told,king [445] king,cop27 [431] johnson,lied [431] lied,queen [431] queen,kwarteng [431] kwarteng,laughed [431] laughed,queen's Top Word Pairs in Tweet in G4:
[405] king,charles [271] liz,truss [196] attend,cop27 [170] charles,iii [106] cop27,climate [93] climate,change [86] climate,summit [82] plans,attend [73] la,cop27 [67] truss,advice Top Word Pairs in Tweet in G5:
[626] king,charles [408] told,king [321] climate,change [319] liz,truss [290] stay,cop27 [284] truss,told [268] water,down [263] cop27,summit [248] mandate,trash [248] trash,planet Top Word Pairs in Tweet in G6:
[829] king,charles [660] charles,attend [658] retweet,agree [625] soft,power [599] speak,cop27 [598] attend,speak [598] cop27,wish [598] wish,brings [598] brings,symbolic [598] symbolic,soft Top Word Pairs in Tweet in G7:
[740] king,charles [690] climate,change [649] globally,respected [649] respected,voice [649] voice,environment [646] british,delegation [646] soft,power [645] common,sense [643] hope,common [643] sense,prevail Top Word Pairs in Tweet in G8:
[344] king,charles [322] liz,truss [296] left,paint [296] paint,picture [296] picture,king [296] charles,told [296] told,liz [296] truss,#10 [296] #10,downing [296] downing,st Top Word Pairs in Tweet in G9:
[379] time,lose [375] #cop27,leaders [374] leaders,demonstrate [374] demonstrate,ambition [374] ambition,mitigation [374] mitigation,deliver [374] deliver,financial [374] financial,commitments [373] commitments,developing [373] developing,world Top Word Pairs in Tweet in G10:
[422] head,state [355] king,charles [258] charles,iii [256] king,australia [252] australia,head [195] cop27,climate [191] climate,conference [186] purblind,idiot [186] idiot,truss [186] truss,ordered Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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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:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: