The graph represents a network of 5,583 Twitter users whose tweets in the requested range contained "(Autonomous Vehicles) OR (Self driving car) OR (Google Car)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 December 2019 at 02:36 UTC.
The requested start date was Wednesday, 18 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 2-day, 8-hour, 2-minute period from Sunday, 15 December 2019 at 16:58 UTC to Wednesday, 18 December 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 : 5583
Unique Edges : 6415
Edges With Duplicates : 709
Total Edges : 7124
Number of Edge Types : 3
Mentions : 5055
Tweet : 1515
Replies to : 554
Self-Loops : 1515
Reciprocated Vertex Pair Ratio : 0.00909597178392426
Reciprocated Edge Ratio : 0.018027961736571
Connected Components : 1534
Single-Vertex Connected Components : 932
Maximum Vertices in a Connected Component : 1318
Maximum Edges in a Connected Component : 2543
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.155953
Graph Density : 0.000174430324230548
Modularity : 0.806445
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,583 Twitter users whose tweets in the requested range contained "(Autonomous Vehicles) OR (Self driving car) OR (Google Car)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 December 2019 at 02:36 UTC.
The requested start date was Wednesday, 18 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 2-day, 8-hour, 2-minute period from Sunday, 15 December 2019 at 16:58 UTC to Wednesday, 18 December 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 : (Autonomous Vehicles) OR (Self driving car) OR (Google Car)
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:
[1718] self,driving [1273] driving,car [864] autonomous,vehicles [421] 000,jobs [419] trolley,problem [400] detroit,area [397] 45,billion [370] car,ai [369] wish,self [369] ethical,questions Top Word Pairs in Tweet in G1:
[279] autonomous,vehicles [240] self,driving [150] driving,car [137] google,maps [132] high,resolution [131] resolution,radar [124] 32,million [121] radar,autonomous [121] arbe,raises [121] raises,32 Top Word Pairs in Tweet in G2:
[381] self,driving [375] driving,car [366] wish,self [366] car,ai [366] ai,actually [366] actually,developed [366] developed,enough [366] enough,consider [366] consider,trolley [366] trolley,problem Top Word Pairs in Tweet in G3:
[191] self,driving [131] autonomous,vehicles [88] vehicles,common [88] common,future [88] future,video [87] #5g,#tech [86] #tech,#innovation [84] #innovation,#smartcities [84] #smartcities,#iot [72] car,switches Top Word Pairs in Tweet in G4:
[143] self,driving [95] driving,car [53] princess,shanelle [53] shanelle,11 [53] 11,year [53] year,old [53] old,cameroonian [53] cameroonian,made [53] made,ultrasonic [53] ultrasonic,self Top Word Pairs in Tweet in G5:
[134] install,gps [134] gps,trackers [134] trackers,cars [134] cars,bikes [134] bikes,trucks [134] trucks,etc [126] etc,shut [114] please,y'all [114] y'all,install [92] shut,down Top Word Pairs in Tweet in G6:
[138] self,driving [136] driving,car [126] car,kill [113] techreview,self [7] kill,baby [7] baby,grandma [6] grandma,depends [6] depends,re [6] re,techreview [2] million,yen Top Word Pairs in Tweet in G7:
[105] ford,motor [105] motor,co [105] co,adding [105] adding,000 [105] 000,jobs [105] jobs,two [105] two,factories [105] factories,detroit [105] detroit,area [105] area,investing Top Word Pairs in Tweet in G8:
[49] autonomous,vehicles [25] high,resolution [24] resolution,radar [21] 32,million [20] raises,32 [20] million,bring [20] bring,high [19] radar,autonomous [17] arbe,raises [16] self,driving Top Word Pairs in Tweet in G9:
[116] autonomous,connected [116] connected,electric [100] electric,shared [100] shared,vehicles [96] #stpimotion,pune [96] pune,focus [96] focus,creating [96] creating,robust [96] robust,ecosystem [96] ecosystem,field Top Word Pairs in Tweet in G10:
[95] ford,adding [95] adding,000 [95] 000,jobs [95] detroit,area [95] area,investing [95] investing,45 [95] 45,billion [95] billion,build [95] build,pickup [95] pickup,trucks 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 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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: