The graph represents a network of 9,016 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, 29 September 2021 at 15:32 UTC.
The requested start date was Wednesday, 29 September 2021 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, 20-hour, 57-minute period from Thursday, 23 September 2021 at 03:03 UTC to Wednesday, 29 September 2021 at 00:01 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 : 9016
Unique Edges : 5843
Edges With Duplicates : 9241
Total Edges : 15084
Number of Edge Types : 5
Tweet : 2572
Retweet : 3545
MentionsInRetweet : 4477
Mentions : 3279
Replies to : 1211
Self-Loops : 2681
Reciprocated Vertex Pair Ratio : 0.0136968432037568
Reciprocated Edge Ratio : 0.0270235490927809
Connected Components : 2645
Single-Vertex Connected Components : 1454
Maximum Vertices in a Connected Component : 2085
Maximum Edges in a Connected Component : 5567
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.568687
Graph Density : 9.56086695692529E-05
Modularity : 0.55705
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,016 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, 29 September 2021 at 15:32 UTC.
The requested start date was Wednesday, 29 September 2021 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, 20-hour, 57-minute period from Thursday, 23 September 2021 at 03:03 UTC to Wednesday, 29 September 2021 at 00:01 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:
[1356] self,driving [1225] autonomous,vehicles [887] ce,médecin [887] médecin,arrêter [887] arrêter,activité [887] activité,ordre [887] ordre,#ars [887] #ars,descente [887] descente,gendarmerie [887] gendarmerie,car Top Word Pairs in Tweet in G1:
[453] autonomous,vehicles [349] self,driving [246] driving,car [233] zero,emission [160] makes,zero [160] emission,autonomous [157] california,makes [157] vehicles,mandatory [157] mandatory,2030 [75] driving,cars Top Word Pairs in Tweet in G2:
[879] ce,médecin [879] médecin,arrêter [879] arrêter,activité [879] activité,ordre [879] ordre,#ars [879] #ars,descente [879] descente,gendarmerie [879] gendarmerie,car [879] car,d' [879] d',accord Top Word Pairs in Tweet in G3:
[111] self,driving [46] driving,car [41] autonomous,vehicles [38] full,self [37] fsd,beta [18] based,analysis [18] analysis,urge [18] urge,departments [18] departments,transportation [18] transportation,around Top Word Pairs in Tweet in G4:
[100] self,driving [98] #ai,#machinelearning [95] driving,car [88] amazing,google [88] google,self [88] car,#ai [88] #machinelearning,#engineering [88] #engineering,thesun [88] thesun,spirosmargaris [88] spirosmargaris,deeplearn007 Top Word Pairs in Tweet in G5:
[77] autonomous,vehicles [65] california,require [65] starting,2030 [64] require,autonomous [64] vehicles,zero [64] zero,emission [64] emission,starting [59] verge,california [46] android,auto [46] auto,getting Top Word Pairs in Tweet in G6:
[114] build,#ai [114] #ai,solution [114] solution,insights [114] insights,driver [114] driver,behaviour [114] behaviour,traffic [114] traffic,trends [114] trends,vehicles [114] vehicles,specifics [114] specifics,help Top Word Pairs in Tweet in G7:
[55] car,google [53] person,911 [53] 911,man [53] man,saw [53] saw,man [53] man,hitting [53] hitting,woman [53] woman,car [53] google,911 [53] 911,call Top Word Pairs in Tweet in G8:
[47] autonomous,vehicles [23] self,driving [22] #ai,#iot [20] #selfdrivingcars,#ai [14] driving,car [13] #iot,#5g [12] complete,guide [11] #cars,#automotive [10] #autonomous,#robotics [10] #robotics,#driverless Top Word Pairs in Tweet in G9:
[86] autonomous,vehicles [80] zero,emission [76] mandatory,2030 [75] makes,zero [75] emission,autonomous [74] california,makes [74] vehicles,mandatory [37] techcrunch,california [16] engadget,california [12] 2030,techcrunch Top Word Pairs in Tweet in G10:
[68] car,stunt [62] stunt,racing [59] game,realistic [59] realistic,physics [57] android,game [51] racing,android [49] leonid52972335,car [39] game,android [30] #indiegame,#indiedev [28] #deadly,#race 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 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: