The graph represents a network of 12 838 Twitter users whose recent tweets contained "#cop15 since:2022-12-18", 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, 19 December 2022 at 16:06 UTC.
The tweets in the network were tweeted over the 22-hour, 4-minute period from Sunday, 18 December 2022 at 15:44 UTC to Monday, 19 December 2022 at 13:48 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 : 12838
Unique Edges : 26318
Edges With Duplicates : 7370
Total Edges : 33688
Number of Edge Types : 5
Tweet : 2664
Retweet : 13596
Mentions : 8539
MentionsInRetweet : 8593
Replies to : 296
Self-Loops : 2788
Reciprocated Vertex Pair Ratio : 0,0111214087117702
Reciprocated Edge Ratio : 0,0219981668194317
Connected Components : 767
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 11390
Maximum Edges in a Connected Component : 31970
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4,27677
Graph Density : 0,000165502228785597
Modularity : 0,630823
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 12 838 Twitter users whose recent tweets contained "#cop15 since:2022-12-18", 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, 19 December 2022 at 16:06 UTC.
The tweets in the network were tweeted over the 22-hour, 4-minute period from Sunday, 18 December 2022 at 15:44 UTC to Monday, 19 December 2022 at 13:48 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 since:2022-12-18
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:
[4346] by,2030 [2824] the,world [2809] at,#cop15 [2307] of,the [1750] in,the [1687] 30,of [1687] the,earth [1613] de,la [1603] around,the [1594] we,must Top Word Pairs in Tweet in G1:
[1484] by,2030 [1274] at,#cop15 [1096] of,the [997] 30,of [893] #cop15,#cop15announcement [838] global,biodiversity [803] inland,waters [771] biodiversity,framework [759] #cop15announcement,#gbfadoption [744] #gbfadoption,#post2020 Top Word Pairs in Tweet in G2:
[1565] the,world [1510] by,2030 [1442] the,earth [1442] vonderleyen,emmanuelmacron [1441] #cop15,vonderleyen [1441] 3,2m [1440] earth,by [1440] around,the [1438] world,to [1437] voices,from Top Word Pairs in Tweet in G3:
[582] by,2030 [369] at,#cop15 [357] the,world [270] kunming,montreal [269] land,amp [261] 2030,30 [260] amp,marine [258] marine,areas [256] the,kunming [254] restored,by Top Word Pairs in Tweet in G4:
[417] la,#cop15 [325] de,la [280] à,la [248] 30,des [194] la,biodiversité [191] un,accord [185] pour,la [143] sur,la [130] la,france [127] accord,historique Top Word Pairs in Tweet in G5:
[212] we,protect [195] #cop15,#actonclimate [191] the,planet [149] of,the [139] for,nature [136] #cop15,#stopdenyingearthisdying [122] we,have [118] #actonclimate,#biodiversity [118] protect,nature [118] #biodiversity,#rewilding Top Word Pairs in Tweet in G6:
[67] de,la [56] la,#cop15 [55] of,the [53] to,protect [45] by,2030 [36] 30,of [31] at,#cop15 [31] sur,la [31] la,biodiversité [27] un,accord Top Word Pairs in Tweet in G7:
[145] natural,world [120] #cop15,a [119] bio,diversity [118] a,bio [118] diversity,summit [117] at,#cop15 [114] too,weak [111] is,a [89] in,montreal [87] to,save Top Word Pairs in Tweet in G8:
[215] in,the [152] un,biodiversity [151] a,un [146] at,a [143] 1,2 [143] of,this [142] is,this [142] the,text [142] dietary,changes [142] biodiversity,conference Top Word Pairs in Tweet in G9:
[121] for,nature [105] global,agreement [105] agreement,for [96] at,#cop15 [77] new,global [74] de,la [74] our,planet [63] in,the [62] with,an [62] agreement,is Top Word Pairs in Tweet in G10:
[207] in,the [194] npwsbiodata,curlewaction [194] bbcnews,npwsbiodata [191] extinction,our [191] s,there [191] gone,from [191] watch,#cop15 [191] over,5000 [191] regional,extinction [191] country,in Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Replied-To in G10:
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: