The graph represents a network of 15,464 Twitter users whose recent tweets contained "water (generator OR create OR condense)", 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 Wednesday, 06 November 2019 at 19:27 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 44-minute period from Monday, 28 October 2019 at 18:34 UTC to Wednesday, 06 November 2019 at 19:19 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 : 15464
Unique Edges : 22680
Edges With Duplicates : 1248
Total Edges : 23928
Self-Loops : 1408
Reciprocated Vertex Pair Ratio : 0.0071045514965394
Reciprocated Edge Ratio : 0.0141088658292372
Connected Components : 1895
Single-Vertex Connected Components : 761
Maximum Vertices in a Connected Component : 8658
Maximum Edges in a Connected Component : 15428
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.703657
Graph Density : 9.18869832595065E-05
Modularity : 0.711616
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 15,464 Twitter users whose recent tweets contained "water (generator OR create OR condense)", 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 Wednesday, 06 November 2019 at 19:27 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 44-minute period from Monday, 28 October 2019 at 18:34 UTC to Wednesday, 06 November 2019 at 19:19 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 : water (generator OR create OR condense)
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:
[5759] clean,water [5642] going,create [5616] without,food [5614] food,clean [5612] rashidatlaib,represents [5612] represents,third [5612] third,poorest [5612] poorest,district [5612] district,america [5612] america,wealthiest Top Word Pairs in Tweet in G1:
[5546] rashidatlaib,represents [5546] represents,third [5546] third,poorest [5546] poorest,district [5546] district,america [5546] america,wealthiest [5546] wealthiest,country [5546] country,earth [5546] earth,one [5546] one,going Top Word Pairs in Tweet in G2:
[51] water,create [46] create,water [39] clean,water [32] thin,air [31] water,generator [30] water,thin [25] sponge,nanomaterial [22] nanomaterial,uses [22] uses,hvac [22] systems,create Top Word Pairs in Tweet in G3:
[466] 400,000 [466] 000,gallons [466] gallons,oil [466] oil,wreck [466] wreck,area [466] area,water [466] water,table [466] table,centuries [466] centuries,exactly [466] exactly,obama Top Word Pairs in Tweet in G4:
[487] india,building [487] building,one [487] one,sustainable [487] sustainable,cities [487] cities,world [487] world,60 [487] 60,city [487] city,green [487] green,space [487] space,water Top Word Pairs in Tweet in G5:
[396] heard,sponge [396] sponge,city [396] incredible,story [396] story,chinese [396] chinese,architect [396] architect,designing [396] designing,greener [396] greener,cities [396] cities,absorb [396] absorb,rainwater Top Word Pairs in Tweet in G6:
[394] dnt,skip [394] skip,breakfast [394] breakfast,today [394] today,replace [394] replace,fizzy [394] fizzy,drinks [394] drinks,wit [394] wit,water [394] water,dont [394] dont,take Top Word Pairs in Tweet in G7:
[11] water,vapor [8] careypo28629166,jwspry [8] jwspry,first [8] first,thing [8] thing,africa [8] africa,needs [8] needs,massive [8] massive,effort [8] effort,build [8] build,coal Top Word Pairs in Tweet in G8:
[20] one,talks [16] climate,change [15] years,ago [14] repadamschiff,haha [14] haha,gore [14] gore,under [14] under,water [14] water,now [14] now,30 [14] 30,years Top Word Pairs in Tweet in G9:
[30] water,bodies [27] electric,buses [24] german,international [24] international,broadcaster [24] broadcaster,deutsche [24] deutsche,welle [24] welle,covers [24] covers,delhi [24] delhi,cm [24] cm,arvindkejriwal's Top Word Pairs in Tweet in G10:
[284] carbonated,drink [142] joshua,create [142] create,another [142] another,debate [142] debate,sdsafasff [142] sdsafasff,drink [142] drink,water [142] water,year [142] year,drink [142] drink,carbonated Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: