The graph represents a network of 6,780 Twitter users whose recent tweets contained "cop15", 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, 10 January 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 9-day, 23-hour, 23-minute period from Saturday, 31 December 2022 at 09:17 UTC to Tuesday, 10 January 2023 at 08:40 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 : 6780
Unique Edges : 10979
Edges With Duplicates : 3952
Total Edges : 14931
Number of Edge Types : 5
Retweet : 5081
MentionsInRetweet : 4775
Mentions : 3102
Tweet : 1668
Replies to : 305
Self-Loops : 1723
Reciprocated Vertex Pair Ratio : 0.0182322998611754
Reciprocated Edge Ratio : 0.0358116706053445
Connected Components : 979
Single-Vertex Connected Components : 475
Maximum Vertices in a Connected Component : 4331
Maximum Edges in a Connected Component : 11746
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.349081
Graph Density : 0.000239373633914557
Modularity : 0.664251
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,780 Twitter users whose recent tweets contained "cop15", 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, 10 January 2023 at 10:17 UTC.
The tweets in the network were tweeted over the 9-day, 23-hour, 23-minute period from Saturday, 31 December 2022 at 09:17 UTC to Tuesday, 10 January 2023 at 08:40 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 : cop15
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:
[1073] de,la [520] global,biodiversity [486] biodiversity,framework [470] la,cop15 [455] la,#cop15 [278] biodiversity,loss [259] climate,change [251] un,biodiversity [247] la,biodiversité [245] pour,la Top Word Pairs in Tweet in G1:
[260] global,biodiversity [247] biodiversity,framework [106] un,biodiversity [98] #cop15,#fornature [93] ecosystem,restoration [89] unbiodiversity,#cop15 [67] de,la [64] #cop15,agreement [64] biodiversity,loss [62] kunming,montreal Top Word Pairs in Tweet in G2:
[365] de,la [312] la,cop15 [188] la,#cop15 [181] pour,la [156] la,biodiversité [135] de,ces [131] cop15,et [109] cop15,biodiversité [98] lendemain,de [97] en,2023 Top Word Pairs in Tweet in G3:
[40] de,la [27] la,cop15 [27] global,biodiversity [26] 200,countries [22] countries,approve [21] biodiversity,accord [21] approve,biodiversity [21] accord,enshrining [20] la,biodiversidad [20] human,rights Top Word Pairs in Tweet in G4:
[52] daisydunnesci,orladwyer_ [52] orladwyer_,yaninequiroz [43] conference,montreal [43] biodiversity,conference [41] un,biodiversity [40] key,outcomes [38] nature,montreal [38] cop15,key [38] 5c,temps [38] march,nature Top Word Pairs in Tweet in G5:
[175] harmony,nature [174] perfectly,#sharinghumanity [174] maya,gabeira [174] gabeira,perfectly [174] restore,harmony [174] nature,maya [164] time,#fornature [161] solutions,protect [161] #sharinghumanity,sharing [161] underway,time Top Word Pairs in Tweet in G6:
[25] biodiversity,summit [21] un,biodiversity [18] helping,protect [16] nat_his_con,#cop15 [16] learn,innovators [16] app,citizen [16] cop15,biodiversity [16] citizen,science [16] spotting,app [16] wipseawildlife,meli_bees Top Word Pairs in Tweet in G7:
[46] launched,#cop15 [40] #cop15,#restorationreport [39] action,ambition [39] #restorationreport,details [39] restoration,efforts [39] efforts,ground [39] projects,launched [39] details,progress [39] restoration,action [39] ground,learn Top Word Pairs in Tweet in G8:
[155] la,conservación [139] de,turberas [139] de,la [138] fundamental,para [138] joya,de [138] para,la [138] restauración,de [138] naturaleza,defendamschiloe [138] #emergenciaclimática,imperdible [138] sobre,está Top Word Pairs in Tweet in G9:
[42] biodiversity,loss [42] global,agreement [41] nytimes,daily [40] grim,mikiebarb [40] big,global [40] topic,grim [40] try,stop [40] daily,talk [40] stop,topic [40] loss,big Top Word Pairs in Tweet in G10:
[32] breaking,indigenous [32] island,disrupt [32] #naturecop,#protectnature [32] colonial,canada [32] disrupt,justintrudeau [32] justintrudeau,opening [32] livelihood,land [32] land,biodiversity [32] biodiversity,#naturecop [32] canada,greatest Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: