The graph represents a network of 8,792 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 Wednesday, 12 October 2022 at 15:32 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 9-hour, 38-minute period from Thursday, 06 October 2022 at 14:21 UTC to Wednesday, 12 October 2022 at 00:00 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 : 8792
Unique Edges : 4603
Edges With Duplicates : 9357
Total Edges : 13960
Number of Edge Types : 5
Tweet : 1821
Retweet : 4288
MentionsInRetweet : 4763
Replies to : 1306
Mentions : 1782
Self-Loops : 1858
Reciprocated Vertex Pair Ratio : 0.00826222402817283
Reciprocated Edge Ratio : 0.0163890381515314
Connected Components : 2158
Single-Vertex Connected Components : 1015
Maximum Vertices in a Connected Component : 3590
Maximum Edges in a Connected Component : 7653
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.602727
Graph Density : 9.63120007858148E-05
Modularity : 0.56654
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,792 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 Wednesday, 12 October 2022 at 15:32 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 9-hour, 38-minute period from Thursday, 06 October 2022 at 14:21 UTC to Wednesday, 12 October 2022 at 00:00 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:
[2942] self,driving [1550] autonomous,vehicles [1535] driving,car [909] driving,cars [617] vehicles,always [615] always,nonsense [613] doctorow,autonomous [613] year,ago [612] uber,declared [612] declared,massive Top Word Pairs in Tweet in G1:
[348] self,driving [236] driving,car [208] autonomous,vehicles [52] google,maps [44] driving,cars [33] #autonomouscar,#selfdrivingcar [26] car,choose [25] car,problem [25] make,model [25] car,crash Top Word Pairs in Tweet in G2:
[703] autonomous,vehicles [597] always,nonsense [597] vehicles,always [594] doctorow,autonomous [593] losses,uber's [593] declared,massive [593] wrote,year [593] ago,uber [593] massive,losses [593] year,ago Top Word Pairs in Tweet in G3:
[431] self,driving [424] maybe,put [424] contained,self [424] put,contained [424] system,allows [424] traverse,cities [424] driving,cars [424] track,system [424] cars,kind [424] kind,track Top Word Pairs in Tweet in G4:
[503] self,driving [282] driving,car [234] car,problem [233] balajis,self [199] driving,cars [194] problem,solved [177] solved,roads [177] roads,built [176] built,self [21] double,down Top Word Pairs in Tweet in G5:
[238] car,crash [234] crash,detection [230] introduced,car [229] years,ago [122] imparkerburton,google [122] detection,years [122] apple,introduced [122] google,roasting [122] roasting,apple [104] ago,google Top Word Pairs in Tweet in G6:
[63] self,driving [28] driving,car [23] autonomous,vehicles [15] vehicle,delivery [15] delivery,#vehicledelivery [14] full,self [14] car,enquiry [12] #hyundaimotors,car [12] #hyundaimotorslimited,#hyundaimotors [11] driving,beta Top Word Pairs in Tweet in G7:
[91] autonomous,vehicles [85] anthony,levandowski [85] driverless,car [84] engineer,anthony [84] car,engineer [84] levandowski,truly [84] years,decades [84] vehicles,years [84] truly,autonomous [75] decades,away Top Word Pairs in Tweet in G8:
[193] self,driving [192] driving,car [188] karaoke,drastically [188] improved,self [188] drastically,improved [188] carpool,karaoke [187] harddrivemag,carpool [4] dead,disastrous [4] catz,self [4] 45,dead Top Word Pairs in Tweet in G9:
[134] self,driving [134] police,car [134] nypd,self [134] before,hitting [134] nypd,officer [134] crashed,police [134] police,cars [134] cars,nypd [134] officer,crashed [134] car,before Top Word Pairs in Tweet in G10:
[83] self,driving [57] autonomous,vehicles [53] driving,car [43] mateosfo,autonomous [30] car,problem [28] driving,cars [27] car,industry [27] autonomous,cars [26] helping,car [26] decade,imo Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 Replied-To in G10:
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: