The graph represents a network of 2 558 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 Thursday, 26 August 2021 at 19:44 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 51-minute period from Wednesday, 18 August 2021 at 13:27 UTC to Thursday, 26 August 2021 at 19:18 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 2558
Unique Edges : 4406
Edges With Duplicates : 2068
Total Edges : 6474
Number of Edge Types : 5
Retweet : 3300
MentionsInRetweet : 2199
Tweet : 491
Mentions : 459
Replies to : 25
Self-Loops : 519
Reciprocated Vertex Pair Ratio : 0,0152219873150106
Reciprocated Edge Ratio : 0,0299875052061641
Connected Components : 134
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 2161
Maximum Edges in a Connected Component : 5914
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3,082709
Graph Density : 0,000734160285444944
Modularity : 0,518057
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2 558 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 Thursday, 26 August 2021 at 19:44 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 51-minute period from Wednesday, 18 August 2021 at 13:27 UTC to Thursday, 26 August 2021 at 19:18 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 Fruchterman-Reingold 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 Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1124] of,the [924] the,#post2020 [747] #cop15,the [670] high,level [658] new,dates [628] 8,may [624] may,2022 [604] in,kunming [598] for,#cop15 [589] 25,april Top Word Pairs in Tweet in G1:
[510] of,the [465] the,#post2020 [451] #cop15,the [427] high,level [376] new,dates [375] 8,may [374] in,kunming [372] 15,october [371] kunming,china [370] april,to Top Word Pairs in Tweet in G2:
[236] of,the [186] the,#post2020 [181] ahead,of [160] of,#cop15 [148] marine,life [131] #post2020,global [130] the,#eubeachcleanup [128] with,un [125] for,#ourocean [120] #cop15,this Top Word Pairs in Tweet in G3:
[281] by,2030 [150] a,#naturepositive [130] #naturepositive,world [130] world,by [117] #naturepositive,#cop15 [115] #post2020,global [115] #theraceison,#naturepositive [110] the,#post2020 [109] of,the [104] for,a Top Word Pairs in Tweet in G4:
[131] of,the [127] new,dates [123] for,#cop15 [111] the,#post2020 [106] #cop15,the [101] https,t [101] t,co [92] high,level [91] dates,for [91] in,kunming Top Word Pairs in Tweet in G5:
[152] to,deliver [76] disappointing,to [76] to,see [76] see,forthcoming [76] forthcoming,major [76] major,summit [76] summit,nature [76] nature,amp [76] amp,biodiversity [76] biodiversity,being Top Word Pairs in Tweet in G6:
[35] 野生動物の密猟,違法取引 [35] 違法取引,魚の乱獲 [35] 魚の乱獲,生物の生息地破壊により生物多様性は深刻な状況にあり [35] 生物の生息地破壊により生物多様性は深刻な状況にあり,事態の転換が必要です [35] 事態の転換が必要です,は [35] は,陸と海の30 [35] 陸と海の30,以上を保護区に [35] 以上を保護区に,との国際的取組を推進し [35] との国際的取組を推進し,生物多様性会議 [35] 生物多様性会議,#cop15 Top Word Pairs in Tweet in G7:
[28] #cop15,#conservebiodiversity [15] sur,la [15] of,the [11] la,#cop15 [11] de,la [10] #cop15,sur [8] la,biodiversité [8] to,the [8] germany,is [8] is,committed Top Word Pairs in Tweet in G8:
[21] the,#post2020 [18] #post2020,framework [16] in,person [16] will,be [14] at,#cop15 [14] in,two [14] two,parts [13] 25,april [13] 8,may [13] may,2022 Top Word Pairs in Tweet in G9:
[43] la,#nature [41] de,la [40] la,#cop15 [36] la,#biodiversité [35] avril,2022 [35] le,congrès [35] congrès,mondial [35] mondial,de [35] #nature,iucn [29] internationale,pour Top Word Pairs in Tweet in G10:
[144] de,la [36] #expertscnrs,journalistes [36] journalistes,amont [36] amont,du [36] du,congrès [36] congrès,mondial [36] mondial,de [36] la,nature [36] nature,de [36] de,l' 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 G8:
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 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: