The graph represents a network of 12,008 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 Tuesday, 20 September 2022 at 07:26 UTC.
The tweets in the network were tweeted over the 6-day, 12-hour, 40-minute period from Tuesday, 13 September 2022 at 16:03 UTC to Tuesday, 20 September 2022 at 04:44 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 : 12008
Unique Edges : 25158
Edges With Duplicates : 18157
Total Edges : 43315
Number of Edge Types : 5
Retweet : 13675
MentionsInRetweet : 20223
Tweet : 2696
Mentions : 5958
Replies to : 763
Self-Loops : 2888
Reciprocated Vertex Pair Ratio : 0.0321392701707399
Reciprocated Edge Ratio : 0.0622770029192345
Connected Components : 1216
Single-Vertex Connected Components : 781
Maximum Vertices in a Connected Component : 9285
Maximum Edges in a Connected Component : 39758
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.673008
Graph Density : 0.000192446866576331
Modularity : 0.509334
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 12,008 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 Tuesday, 20 September 2022 at 07:26 UTC.
The tweets in the network were tweeted over the 6-day, 12-hour, 40-minute period from Tuesday, 13 September 2022 at 16:03 UTC to Tuesday, 20 September 2022 at 04:44 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:
[1589] climate,change [949] sharm,el [876] el,sheikh [801] climate,crisis [760] africa,frontlines [659] #agroecology4climate,#accc22 [658] #accc22,#cop27 [614] frontlines,pages [604] climate,fight [585] climate,action Top Word Pairs in Tweet in G1:
[645] #agroecology4climate,#accc22 [645] #accc22,#cop27 [444] addis,ababa [417] climate,change [388] #agroecology4climate,#cop27 [350] ababa,ethiopia [330] roadmap,adaptation [312] climate,crisis [243] adaptation,agroecology [231] #accc2022,#cop27 Top Word Pairs in Tweet in G2:
[344] sharm,el [342] el,sheikh [231] #climateaction,#cop27 [200] pledges,implementation [196] climate,change [175] leaders,key [175] key,stakeholders [172] expect,ocean [172] ocean,keep [172] keep,absorbing Top Word Pairs in Tweet in G3:
[442] human,rights [112] egyptian,government [110] climate,justice [107] #egypt,#cop27 [103] political,prisoners [90] egyptian,security [90] security,forces [90] forces,rearrested [90] rearrested,sherif [90] sherif,elrouby Top Word Pairs in Tweet in G4:
[385] africa,frontlines [268] climate,fight [261] frontlines,pages [253] vanessa,nakate [250] pages,vanessa [196] nakate,climate [170] coming,africa [156] african,cop [154] cop27,framed [154] framed,african Top Word Pairs in Tweet in G5:
[101] frontlines,pages [100] africa,frontlines [99] vanessa,nakate [98] pages,vanessa [97] nakate,climate [97] climate,fight [72] climate,crisis [67] climate,change [58] global,action [56] action,cop27 Top Word Pairs in Tweet in G6:
[233] food,systems [225] resilience,hub [214] regional,resilience [206] africa,regional [175] 00,cat [175] 20,sept [173] 15,00 [170] tues,20 [169] sept,16 [153] cat,13 Top Word Pairs in Tweet in G7:
[165] regain,momentum [165] momentum,#climatechange [110] climate,impacts [107] single,leader [107] leader,traveling [107] traveling,#unga [107] #unga,arrives [107] arrives,country [107] country,affected [107] affected,climate Top Word Pairs in Tweet in G8:
[134] un,ronkayanja [134] ronkayanja,thejamespopoola [134] thejamespopoola,undpnigeria [134] undpnigeria,worldbank [134] worldbank,cop27p [134] cop27p,sdgaction [134] sdgaction,usinnigeria [134] usinnigeria,iomatau [134] iomatau,sdg2030 [134] sdg2030,zebra_carol Top Word Pairs in Tweet in G9:
[187] climate,change [185] big,oil [158] investigation,leaves [158] leaves,doubt [158] doubt,big [158] oil,gaslighting [158] gaslighting,public [158] public,companies [158] companies,claim [158] claim,part Top Word Pairs in Tweet in G10:
[47] climate,change [25] president,williamsruto [20] world,leaders [19] big,moves [19] moves,#prioritizeclimate [19] #prioritizeclimate,world [19] leaders,#cop27 [18] climate,negotiations [18] zimbabwe,climate [18] cop27,zimbabwe Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: