The graph represents a network of 6,083 Twitter users whose recent tweets contained "(Autonomous Vehicles) OR (Self driving car) OR (Google Car)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 16:27 UTC.
The tweets in the network were tweeted over the 3022-day, 23-hour, 21-minute period from Thursday, 30 October 2014 at 01:31 UTC to Wednesday, 08 February 2023 at 00:52 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6083
Unique Edges : 2790
Edges With Duplicates : 9383
Total Edges : 12173
Number of Edge Types : 9
Retweet : 2777
MentionsInRetweet : 3175
Tweet : 1373
Replies to : 1499
MentionsInReplyTo : 2717
Mentions : 448
Quote : 125
MentionsInQuoteReply : 34
MentionsInQuote : 25
Self-Loops : 1796
Reciprocated Vertex Pair Ratio : 0.0473749337104472
Reciprocated Edge Ratio : 0.090464135021097
Connected Components : 1439
Single-Vertex Connected Components : 630
Maximum Vertices in a Connected Component : 967
Maximum Edges in a Connected Component : 2366
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.76096
Graph Density : 0.000160148959885889
Modularity : 0.503966
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,083 Twitter users whose recent tweets contained "(Autonomous Vehicles) OR (Self driving car) OR (Google Car)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 16:27 UTC.
The tweets in the network were tweeted over the 3022-day, 23-hour, 21-minute period from Thursday, 30 October 2014 at 01:31 UTC to Wednesday, 08 February 2023 at 00:52 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[740] self,driving [639] autonomous,vehicles [497] google,maps [478] chinese,scientists [477] study,alamos [477] prc,advance [477] sponsored,162 [477] under,biden [477] helped,prc [477] 162,chinese Top Word Pairs in Tweet in G1:
[142] self,driving [114] autonomous,vehicles [87] driving,car [47] available,24 [40] google,maps [34] lenny,locksmith [31] stolen,car [30] break,icloud [30] access,mails [30] #icloud,#google Top Word Pairs in Tweet in G2:
[470] helped,prc [470] 2022,study [470] advance,key [470] including,under [470] prc,advance [470] alamos,sponsored [470] biden,helped [470] sponsored,162 [470] 162,chinese [470] under,biden Top Word Pairs in Tweet in G3:
[447] over,entire [447] call,crazy [447] entire,seems [447] crazy,shooting [447] flew,over [447] merely,optics [447] balloon,flew [447] down,balloon [447] seems,inessential [447] inessential,merely Top Word Pairs in Tweet in G4:
[233] onboard,computers [227] autonomous,vehicles [220] computers,needed [220] powerful,onboard [220] needed,run [205] mass,global [205] takeup,autonomous [205] vehicles,powerful [205] global,takeup [199] seems,bad Top Word Pairs in Tweet in G5:
[208] embuscade,faire [208] jeunes,seraient [208] seraient,plus [208] pactole,retraites [208] plus,victimes [208] assurances,embuscade [208] main,basse [208] retraites,jeunes [208] faire,main [208] basse,pactole Top Word Pairs in Tweet in G6:
[87] self,driving [42] full,self [34] tesla,full [26] driving,car [25] mind,tesla [25] plus,perfect [25] people,24 [25] red,traffic [25] 14,people [25] lights,plus Top Word Pairs in Tweet in G7:
[135] cyberpunk,hotties [135] cyber,cuties [135] models,made [135] favorite,cyber [135] made,favorite [135] celebrate,release [135] rigid3d,cyberpunk [135] release,rigid3d [135] hotties,celebrate [135] cyberpunk,models Top Word Pairs in Tweet in G8:
[272] google,maps [136] car,google [136] lauren,boebert [136] fyi,2012 [136] boebert,never [136] never,heard [136] 2012,picture [136] picture,car [136] heard,google [136] maps,fyi Top Word Pairs in Tweet in G9:
[7] google,pixel [7] android,auto [6] google,maps [5] ants000,google [5] google,kiaaustralia [4] google,twittersupport [4] recovery,irs_ci [4] pixel,pro [4] govwhitmer,miattygen [4] google,android Top Word Pairs in Tweet in G10:
[85] plantes,médicinales [84] répondre,lien [84] médicinales,invite [84] suivant,rapide [84] lien,suivant [84] invite,répondre [83] rapide,remer [83] thomsthy,plantes Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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: