The graph represents a network of 632 Twitter users whose recent tweets contained "#NADAShow", 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 Friday, 25 January 2019 at 21:26 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 40-minute period from Wednesday, 16 January 2019 at 01:28 UTC to Friday, 25 January 2019 at 21:08 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 : 632
Unique Edges : 682
Edges With Duplicates : 1682
Total Edges : 2364
Self-Loops : 917
Reciprocated Vertex Pair Ratio : 0.043656207366985
Reciprocated Edge Ratio : 0.0836601307189542
Connected Components : 125
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 429
Maximum Edges in a Connected Component : 2047
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.358648
Graph Density : 0.00191829324560172
Modularity : 0.309187
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[122] learn,more [115] find,booth [113] san,francisco [96] nadashow,nada2019 [90] video,warrior [74] nadashow,booth [73] warrior,package [70] nada2019,nadashow [68] cpi_results,tipoftheday [66] automotive,dealerships Top Word Pairs in Tweet in G1:
[23] san,francisco [20] nada2019,nadashow [11] nadashow,nada2019 [8] stop,booth [7] looking,forward [6] nadashow,2019 [6] nadashow,nadashow2019 [6] west,hall [5] learn,more [5] come,see Top Word Pairs in Tweet in G2:
[29] san,francisco [22] nadashow,2019 [19] learn,more [13] day,1 [13] nadashow,comcstspotlight [11] event,year [11] new,attendees [10] ceo,tvb [10] national,automobile [10] automobile,dealers Top Word Pairs in Tweet in G3:
[14] san,francisco [9] nada2019,nadashow [8] stop,booth [8] press,conference [8] nadaexpo,nadashow [7] check,out [7] next,week [7] traderevmovemetal,concert [6] nadashow,nada2019 [6] auto,intel Top Word Pairs in Tweet in G4:
[66] cpi_results,tipoftheday [60] automotive,dealerships [58] automotive,leadership [54] automotive,dealership [52] tip,day [50] cpi_results,tip [49] cpi_results,dealership [34] hit,re [34] re,tweet [34] tweet,gain Top Word Pairs in Tweet in G5:
[82] find,booth [70] learn,more [64] booth,2139s [61] booth,7935w [57] nadashow,booth [50] 2139s,nadashow [48] booth,7223w [44] booth,5219n [38] social,roots [38] roots,1 Top Word Pairs in Tweet in G6:
[20] nadashow,year [19] saturday,january [17] heading,nadashow [16] team,pcgdigital [14] click,link [13] dealers,heading [13] nadashow,join [13] join,team [13] pcgdigital,free [13] free,beer Top Word Pairs in Tweet in G7:
[11] nadashow,nada2019 [10] instant,cash [7] nadashow,nadashow2019 [7] cash,offers [7] offers,up [7] managed,services [6] jessica,stafford [6] services,create [6] create,custom [6] custom,solution Top Word Pairs in Tweet in G8:
[90] video,warrior [73] warrior,package [63] booth,7944w [31] 7944w,nadashow [29] find,booth [28] free,trial [24] 60,day [24] day,free [23] trial,video [22] offering,60 Top Word Pairs in Tweet in G9:
[8] nadashow,ford [7] ceo,jim [7] jim,hackett [6] lincoln,dealers [6] san,francisco [5] dealers,prepare [4] dealer,council [4] council,chairman [4] dtw,gt [4] gt,sfo Top Word Pairs in Tweet in G10:
[17] headed,nadashow [17] nadashow,week [17] week,join [17] join,booth [17] booth,6301w [17] 6301w,learn [17] learn,netsertive's [17] netsertive's,rich [17] rich,media [17] media,solution 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 G6:
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 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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: