The graph represents a network of 4,848 Twitter users whose tweets in the requested range contained "gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 December 2019 at 22:49 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 8-minute period from Tuesday, 10 December 2019 at 01:08 UTC to Tuesday, 24 December 2019 at 00:16 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 : 4848
Unique Edges : 5191
Edges With Duplicates : 580
Total Edges : 5771
Number of Edge Types : 4
MentionsInRetweet : 3941
Tweet : 530
Mentions : 954
Replies to : 346
Self-Loops : 530
Reciprocated Vertex Pair Ratio : 0.0101770812131081
Reciprocated Edge Ratio : 0.0201491033649003
Connected Components : 637
Single-Vertex Connected Components : 266
Maximum Vertices in a Connected Component : 2441
Maximum Edges in a Connected Component : 3008
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.861979
Graph Density : 0.000211207163629505
Modularity : 0.848777
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,848 Twitter users whose tweets in the requested range contained "gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 December 2019 at 22:49 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 8-minute period from Tuesday, 10 December 2019 at 01:08 UTC to Tuesday, 24 December 2019 at 00:16 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 : GraphServerTwitterSearch
Graph Term : gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)
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:
[827] climate,change [617] tear,gas [513] gas,shells [507] bill,gates [418] greenhouse,gas [412] change,need [410] effects,climate [410] gas,emissions [408] prevent,worst [408] worst,effects Top Word Pairs in Tweet in G1:
[437] climate,change [416] greenhouse,gas [407] change,need [406] prevent,worst [406] worst,effects [406] effects,climate [406] need,zero [406] zero,net [406] net,greenhouse [406] gas,emissions Top Word Pairs in Tweet in G2:
[213] islamia,university [213] university,delhi [213] delhi,slogans [213] slogans,such [213] such,#secularindia [213] #secularindia,graffitied [213] graffitied,buildings [213] buildings,many [197] #jamiamilia,islamia [196] friedrichpieter,#jamiamilia Top Word Pairs in Tweet in G3:
[360] tear,gas [359] brother's,friend [359] friend,anjum [359] anjum,shah [359] shah,last [359] last,seen [359] seen,library [359] library,jamia [359] jamia,police [359] police,threw Top Word Pairs in Tweet in G4:
[306] gore's,cult [306] cult,climatology [306] climatology,suffered [306] suffered,climate [306] climate,gates [306] gates,email [306] email,fiascos [306] fiascos,over [306] over,250 [306] 250,false Top Word Pairs in Tweet in G5:
[89] bill,gates [66] climate,change [27] gates,richard [27] richard,branson [27] branson,agree [27] help,counter [27] counter,climate [21] one,way [20] agree,one [20] way,billionaires Top Word Pairs in Tweet in G6:
[226] video,accessed [226] accessed,firstpost [226] firstpost,shows [226] shows,police [226] police,firing [226] firing,students [226] students,try [226] try,come [226] come,gates [226] gates,#jamiamilliaislamia Top Word Pairs in Tweet in G7:
[125] dsamuelsohn,politico [106] tom,green [92] politico,joshgerstein [92] joshgerstein,jackson [92] jackson,asks [92] asks,gates [92] gates,green [92] green,come [92] come,lectern [92] lectern,warn Top Word Pairs in Tweet in G8:
[108] jamia,millia [108] millia,islamia [106] delhi,fir [106] fir,filed [106] filed,police [106] police,connection [106] connection,jamia [106] islamia,incident [106] incident,states [106] states,total Top Word Pairs in Tweet in G9:
[110] climate,change [109] hillary,clinton [108] holds,climate [107] prince,william [107] william,holds [107] change,talks [103] bill,gates [99] gates,hillary [98] talks,bill [96] clinton,daily Top Word Pairs in Tweet in G10:
[4] atomalty,gore's [4] gore's,cult [4] cult,climatology [4] climatology,suffered [4] suffered,climate [4] climate,gates [4] gates,email [4] email,fiascos [4] fiascos,over [4] over,250 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: