The graph represents a network of 7,582 Twitter users whose recent tweets contained "@unfccc", 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, 15 August 2022 at 07:30 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 7-minute period from Friday, 05 August 2022 at 11:20 UTC to Monday, 15 August 2022 at 05:28 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 : 7582
Unique Edges : 27000
Edges With Duplicates : 97313
Total Edges : 124313
Number of Edge Types : 5
Retweet : 11168
MentionsInRetweet : 81603
Mentions : 29390
Replies to : 2129
Tweet : 23
Self-Loops : 480
Reciprocated Vertex Pair Ratio : 0.00985020055117466
Reciprocated Edge Ratio : 0.0195082410159416
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7582
Maximum Edges in a Connected Component : 124313
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.671169
Graph Density : 0.000643885742066226
Modularity : 0.23114
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 7,582 Twitter users whose recent tweets contained "@unfccc", 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, 15 August 2022 at 07:30 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 7-minute period from Friday, 05 August 2022 at 11:20 UTC to Monday, 15 August 2022 at 05:28 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 : @unfccc
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5821] #emas,#resilientlyonward [5503] #resilientlyonward,acmi_africa [5192] mfaethiopia,unfccc [5133] acmi_africa,mfaethiopia [4262] unfccc,undpclimate [3839] undpclimate,abdikerm [2819] art,science [2394] museum,art [2152] ethiopian,museum [1481] unfccc,ibrahimthiaw Top Word Pairs in Tweet in G1:
[367] climate,change [155] climate,crisis [143] days,left [142] decision,finance [142] unfccc,remain [142] remain,relevant [140] temperature,rise [137] finance,#lossanddamage [137] #lossanddamage,unfccc [134] limit,temperature Top Word Pairs in Tweet in G2:
[1478] unfccc,ibrahimthiaw [1469] tonigarrn,nikeatathompson [1468] ibrahimthiaw,ovaissarmad [1468] ovaissarmad,tonigarrn [998] nikeatathompson,cpsavesoil [929] cpsavesoil,#savesoil [910] #savesoilgermany,unfccc [416] #savesoil,action [415] glimpses,sadhgurujv [415] sadhgurujv,journey Top Word Pairs in Tweet in G3:
[1111] eu_commission,eu_eeas [1050] potus,vp [1044] uspto,epa [1026] housedemocrats,senatedems [1023] vp,speakerpelosi [1022] speakerpelosi,housedemocrats [1004] antonioguterres,vonderleyen [999] senwarren,epoorg [999] epoorg,eu_commission [999] eu_eeas,antonioguterres Top Word Pairs in Tweet in G4:
[5806] #emas,#resilientlyonward [5488] #resilientlyonward,acmi_africa [5179] mfaethiopia,unfccc [5120] acmi_africa,mfaethiopia [4229] unfccc,undpclimate [3830] undpclimate,abdikerm [2808] art,science [2386] museum,art [2145] ethiopian,museum [1197] science,#emas Top Word Pairs in Tweet in G5:
[954] cradle,civilization [954] civilization,amp [954] amp,home [954] home,hard [954] hard,working [954] working,people [954] people,fighting [954] fighting,combat [954] combat,desertification [954] desertification,dying Top Word Pairs in Tweet in G6:
[29] unep,unfccc [26] moefcc,byadavbjp [25] #justiceforaareyforest,#mmrcldontlie [25] byadavbjp,unep [25] unfccc,unbiodiversity [24] #mmrcldontlie,#onlyoneearth [24] #onlyoneearth,#saveforests [24] #saveforests,moefcc [10] jeremycorbyn,greenrupertread [10] greenrupertread,jembendell Top Word Pairs in Tweet in G7:
[9] americanpublish,worldbank [9] worldbank,un_women [9] un_women,nutunisie [9] nutunisie,helenclarknz [9] helenclarknz,unicefindia [9] unicefindia,unicefbrasil [9] unicefbrasil,unpeacekeeping [9] unpeacekeeping,unfccc [9] unfccc,unicefromania [9] queenolimi,mtwauganda Top Word Pairs in Tweet in G8:
[83] australia,back [72] wet,tropics [69] 25,000 [69] 000,hectares [69] hectares,wet [58] ipbes,unfccc [55] unfccc,antonioguterres [54] fossil,fuel [52] love,tim [52] tim,winton Top Word Pairs in Tweet in G9:
[23] pmoindia,rashtrapatibhvn [20] narendramodi,pmoindia [20] rashtrapatibhvn,vpsecretariat [20] vpsecretariat,bjp4india [20] bjp4india,rssorg [20] rssorg,drmohanbhagwat [20] drmohanbhagwat,jpnadda [20] jpnadda,amitshah [20] amitshah,rajnathsingh [20] rajnathsingh,nsitharaman Top Word Pairs in Tweet in G10:
[118] africa,climate [118] climate,week [118] week,2022 [118] 2022,organized [118] organized,unfccc [118] unfccc,held [118] held,29th [118] 29th,aug [118] aug,2nd [118] 2nd,sept Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: