The graph represents a network of 1,797 Twitter users whose recent tweets contained "#350.org", 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 Friday, 01 November 2019 at 22:58 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 59-minute period from Wednesday, 23 October 2019 at 22:44 UTC to Friday, 01 November 2019 at 22:44 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 : 1797
Unique Edges : 1840
Edges With Duplicates : 758
Total Edges : 2598
Self-Loops : 559
Reciprocated Vertex Pair Ratio : 0.00298329355608592
Reciprocated Edge Ratio : 0.00594883997620464
Connected Components : 384
Single-Vertex Connected Components : 317
Maximum Vertices in a Connected Component : 1240
Maximum Edges in a Connected Component : 1967
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.968647
Graph Density : 0.000520850762158658
Modularity : 0.555717
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,797 Twitter users whose recent tweets contained "#350.org", 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 Friday, 01 November 2019 at 22:58 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 59-minute period from Wednesday, 23 October 2019 at 22:44 UTC to Friday, 01 November 2019 at 22:44 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 : #350.org
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[527] climate,talks [362] kick,polluters [361] polluters,out [349] fossil,fuels [338] climate,summit [318] keep,fossil [318] fuels,ground [308] climate,crisis [256] heart,climate [247] oil,spill Top Word Pairs in Tweet in G1:
[261] climate,talks [250] fossil,fuels [248] climate,crisis [243] keep,fossil [243] fuels,ground [213] oil,spill [199] heart,climate [197] now,more [178] kick,polluters [178] polluters,out Top Word Pairs in Tweet in G2:
[130] climate,summit [123] climate,talks [121] kick,polluters [120] polluters,out [118] s,climate [89] keystone,xl [88] seal,deal [88] deal,one [88] one,biggest [88] biggest,climate Top Word Pairs in Tweet in G3:
[166] fossil,fuel [142] fuel,industry [136] s,time [110] money,fossil [106] stop,funding [106] funding,coal [92] global,warming [89] money,oxygen [89] oxygen,fire [89] fire,global Top Word Pairs in Tweet in G4:
[106] petition,calling [106] calling,government [106] government,canada [106] canada,place [106] place,short [106] short,term [106] term,moratorium [106] moratorium,development [106] development,kanehsatà [106] kanehsatà,ke Top Word Pairs in Tweet in G5:
[26] climate,talks [22] talks,chile [14] #exxonknew,#makethempay [14] heart,climate [14] suspension,#cop25 [13] canceled,very [13] very,issues [13] issues,heart [12] rex,tillerson [12] here,s Top Word Pairs in Tweet in G6:
[22] very,good [22] good,news [22] news,thanks [22] thanks,huge [22] huge,number [22] number,volunteers [17] climate,talks [13] keep,fossil [13] fossil,fuels [13] fuels,ground Top Word Pairs in Tweet in G7:
[10] climate,summit [5] breaking,following [5] following,chile's [5] chile's,decision [5] decision,host [5] host,climate [5] summit,#cop25 [5] #cop25,scheduled [5] scheduled,december [5] december,#spain Top Word Pairs in Tweet in G8:
[11] 緊急署名,たった76時間で2万2103名の声 [11] たった76時間で2万2103名の声,日本のメガバンクに新規石炭火力発電所への融資をやめるよう求める緊急署名に [11] 日本のメガバンクに新規石炭火力発電所への融資をやめるよう求める緊急署名に,49カ国から2万2000人以上の声が集まりました [11] 49カ国から2万2000人以上の声が集まりました,先程 [11] 先程,皆様の意思をしっかりと邦銀4行に提出 [11] 皆様の意思をしっかりと邦銀4行に提出,今後の動向に注目です [10] g7で石炭火力発電を未だに推進しているのは日本だけです,約一か月前に国連責任銀行原則 [10] 約一か月前に国連責任銀行原則,prb [10] prb,に署名したのにも関わらず [10] に署名したのにも関わらず,国際社会の信頼を裏切る行為です Top Word Pairs in Tweet in G9:
[17] such,good [17] good,work [17] work,thank [17] thank,much [17] much,co [17] co,founder [17] founder,bill [17] bill,mckibben [17] mckibben,thanks [17] thanks,#fridaysforfuture Top Word Pairs in Tweet in G10:
[44] whose,land [22] sister,ocean [22] ocean,sand [22] sand,see [22] see,glaciers [22] glaciers,groaning [22] groaning,weight [22] weight,world [22] world,s [22] s,heat Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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 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: