The graph represents a network of 5,988 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 Wednesday, 20 November 2019 at 21:16 UTC.
The requested start date was Tuesday, 19 November 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 11-day, 18-hour, 56-minute period from Thursday, 07 November 2019 at 06:03 UTC to Tuesday, 19 November 2019 at 01:00 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 : 5988
Unique Edges : 6020
Edges With Duplicates : 636
Total Edges : 6656
Number of Edge Types : 3
Mentions : 5344
Replies to : 560
Tweet : 752
Self-Loops : 752
Reciprocated Vertex Pair Ratio : 0.00820695807314897
Reciprocated Edge Ratio : 0.0162803043709078
Connected Components : 901
Single-Vertex Connected Components : 368
Maximum Vertices in a Connected Component : 2919
Maximum Edges in a Connected Component : 3416
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.623132
Graph Density : 0.000157628323848856
Modularity : 0.843978
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,988 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 Wednesday, 20 November 2019 at 21:16 UTC.
The requested start date was Tuesday, 19 November 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 11-day, 18-hour, 56-minute period from Thursday, 07 November 2019 at 06:03 UTC to Tuesday, 19 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1945] bill,gates [1223] climate,change [941] father,kukah [941] kukah,today's [941] russia,building [941] building,rail [941] rail,tracks [941] tracks,ajaokuta [941] ajaokuta,china [941] china,building Top Word Pairs in Tweet in G1:
[887] father,kukah [887] kukah,today's [887] today's,nigeria [887] nigeria,russia [887] russia,building [887] building,rail [887] rail,tracks [887] tracks,ajaokuta [887] ajaokuta,china [887] china,building Top Word Pairs in Tweet in G2:
[455] climate,change [368] effects,climate [367] prevent,worst [367] worst,effects [367] change,need [367] need,zero [367] zero,net [367] net,greenhouse [367] greenhouse,gas [367] gas,emissions Top Word Pairs in Tweet in G3:
[391] bill,gates [389] going,spend [389] spend,day [389] day,defending [389] defending,bill [389] gates,money [389] money,invests [389] invests,things [389] things,climate [389] climate,being Top Word Pairs in Tweet in G4:
[207] bill,gates [109] climate,change [16] elizabeth,warren [13] green,gates [13] bad,climate [12] gates,talks [11] 100,billion [11] gates,visits [11] visits,capitol [10] wealth,tax Top Word Pairs in Tweet in G5:
[4] kenneth72712993,gotarevolution [4] gotarevolution,joetheatheist [4] joetheatheist,donwils13730132 [4] donwils13730132,dawntj90 [4] dawntj90,ncdave4life [4] ncdave4life,frankchanged [4] frankchanged,stevethib [4] stevethib,gillesnfio [3] kctaz,benson_karras [3] benson_karras,robin_hagues Top Word Pairs in Tweet in G6:
[110] bill,gates [94] climate,activist [88] considers,himself [88] himself,climate [88] activist,refuses [87] gates,considers [87] refuses,heâ [87] heâ,d [87] d,vote [87] vote,candidate Top Word Pairs in Tweet in G7:
[40] bill,gates [15] packed,house [15] house,tonight [15] tonight,pinole [15] pinole,stop [15] stop,trump [15] trump,s [15] s,plan [15] plan,deep [15] deep,dredge Top Word Pairs in Tweet in G8:
[103] climate,change [100] bill,gates [94] gates,working [94] working,book [94] book,climate [94] change,due [94] due,out [94] out,next [94] next,summer [93] teddyschleifer,bill Top Word Pairs in Tweet in G9:
[117] societies,straight [117] straight,billionaires [117] billionaires,rich [117] rich,securing [117] securing,juicy [117] juicy,oil [117] oil,contracts [117] contracts,military [117] military,dictatorships [116] okkevwe,societies Top Word Pairs in Tweet in G10:
[105] well,good [105] good,leftist [105] leftist,liberal [105] liberal,gets [105] gets,elected [105] elected,2020 [105] 2020,bill [105] bill,gates [105] gates,give [105] give,up 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 G6:
Top Replied-To in G7:
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 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: