The graph represents a network of 1,755 Twitter users whose recent tweets contained "tap air", 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 Thursday, 09 January 2020 at 22:10 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 23-minute period from Thursday, 02 January 2020 at 02:30 UTC to Thursday, 09 January 2020 at 21:53 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 : 1755
Unique Edges : 1715
Edges With Duplicates : 110
Total Edges : 1825
Number of Edge Types : 5
Replies to : 148
Retweet : 1048
Tweet : 289
Mentions : 178
MentionsInRetweet : 162
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0.00399733510992672
Reciprocated Edge Ratio : 0.0079628400796284
Connected Components : 370
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 785
Maximum Edges in a Connected Component : 857
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.194495
Graph Density : 0.000489560694805849
Modularity : 0.782882
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1,755 Twitter users whose recent tweets contained "tap air", 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 Thursday, 09 January 2020 at 22:10 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 23-minute period from Thursday, 02 January 2020 at 02:30 UTC to Thursday, 09 January 2020 at 21:53 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 : tap air
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[747] drinking,water [487] clean,drinking [487] water,period [486] deserve,clean [185] air,force [155] near,shaw [149] water,near [121] report,regarding [121] regarding,pfas [121] pfas,contaminated Top Word Pairs in Tweet in G1:
[463] deserve,clean [463] clean,drinking [463] drinking,water [463] water,period Top Word Pairs in Tweet in G2:
[38] tap,air [32] air,portugal [27] tap,water [11] air,force [10] air,tap [8] water,near [7] airdots,pro [7] bluetooth,headset [7] tap,control [6] pro,air Top Word Pairs in Tweet in G3:
[148] air,force [128] drinking,water [85] force,base [84] shaw,air [80] trailer,park [75] less,mile [61] last,year [60] test,drinking [59] force,found [59] found,chemicals Top Word Pairs in Tweet in G4:
[149] drinking,water [128] near,shaw [120] report,regarding [120] regarding,pfas [120] pfas,contaminated [120] contaminated,water [120] water,near [120] shaw,afb [120] afb,another [120] another,example Top Word Pairs in Tweet in G5:
[60] well,stupid [60] stupid,endlessly [60] endlessly,jump [60] jump,down [60] down,spot [60] spot,over [60] over,boundary [60] boundary,patting [60] patting,ball [60] ball,air Top Word Pairs in Tweet in G6:
[50] double,tap [44] #first,responders [44] responders,admired [44] admired,amp [44] amp,thanked [44] thanked,everywhere [44] everywhere,except [44] except,#syria [44] #syria,#whitehelmets [44] #whitehelmets,murdered Top Word Pairs in Tweet in G7:
[37] asked,over [37] over,over [37] over,moving [37] moving,well [37] well,accepted [37] accepted,primetime [37] primetime,air [37] air,position [37] position,6pm [37] 6pm,great Top Word Pairs in Tweet in G8:
[32] pacific,ocean [32] ocean,cbp [32] cbp,amo [32] amo,air [32] air,marine [32] marine,operations [32] operations,crew [32] crew,stops [32] stops,boat [32] boat,loaded Top Word Pairs in Tweet in G9:
[30] tap,air [29] air,portugal [7] portugal,ci [7] ci,delizia [7] delizia,#malpensa [7] #malpensa,portando [7] portando,l'ultima [7] l'ultima,ammiraglia [7] ammiraglia,propria [7] propria,flotta Top Word Pairs in Tweet in G10:
[32] kitten,air [32] air,tap [32] tap,good [32] good,evening [32] evening,everyone [32] everyone,#purrsday Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G6:
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: