The graph represents a network of 1,612 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 June 2022 at 12:38 UTC.
The requested start date was Wednesday, 01 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 19-day, 11-hour, 44-minute period from Thursday, 12 May 2022 at 09:04 UTC to Tuesday, 31 May 2022 at 20:48 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 : 1612
Unique Edges : 2249
Edges With Duplicates : 15714
Total Edges : 17963
Number of Edge Types : 5
Retweet : 6161
MentionsInRetweet : 8943
Tweet : 947
Mentions : 1867
Replies to : 45
Self-Loops : 1318
Reciprocated Vertex Pair Ratio : 0.0435278030993619
Reciprocated Edge Ratio : 0.0834243284559948
Connected Components : 120
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1409
Maximum Edges in a Connected Component : 17678
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.432163
Graph Density : 0.00176323446281997
Modularity : 0.17021
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,612 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 June 2022 at 12:38 UTC.
The requested start date was Wednesday, 01 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 19-day, 11-hour, 44-minute period from Thursday, 12 May 2022 at 09:04 UTC to Tuesday, 31 May 2022 at 20:48 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 : #selfdrivingcars
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:
[1591] #ai,#machinelearning [1091] #machinelearning,#selfdrivingcars [961] #selfdrivingcars,#autonomousvehicles [913] #coding,#programming [867] #programming,#python [774] #python,#javascript [677] #javascript,#linux [675] #chip,#aichip [675] #aichip,#selfdrivingcars [647] #bigdata,#analytics Top Word Pairs in Tweet in G1:
[82] #coding,#programming [82] #programming,#python [79] #python,#javascript [79] #engineering,#ai [54] #ai,#selfdrivingcars [53] learn,#datascience [53] #javascript,#engineering [52] iambriangraham,sebbourguignon [51] sebbourguignon,enilev [49] enilev,khulood_almani Top Word Pairs in Tweet in G2:
[649] #chip,#aichip [649] #aichip,#selfdrivingcars [571] #ai,#iot [555] #ai,#machinelearning [539] #selfdrivingcars,#ai [510] #selfdrivingcars,#technology [498] #technology,#smartphones [494] #iot,#5g [402] #machinelearning,#selfdrivingcars [398] #selfdrivingcars,#autonomousvehicles Top Word Pairs in Tweet in G3:
[488] #ai,#machinelearning [306] #machinelearning,#selfdrivingcars [298] #coding,#programming [278] #programming,#python [250] #python,#javascript [223] #javascript,#linux [211] #selfdrivingcars,#autonomousvehicles [191] #engineering,#ai [190] #linux,#engineering [185] #bigdata,#analytics Top Word Pairs in Tweet in G4:
[492] #ai,#machinelearning [345] #machinelearning,#selfdrivingcars [295] #coding,#programming [286] #programming,#python [273] #selfdrivingcars,#autonomousvehicles [273] #bigdata,#analytics [268] #analytics,#datascience [264] #python,#coding [263] #datascientist,#bigdata [262] #ai,#transport Top Word Pairs in Tweet in G5:
[33] self,driving [14] driving,cars [6] driving,car [5] #tesla,#selfdrivingcars [5] #driverlesscars,#selfdrivingcars [5] #selfdrivingcars,#autonomousvehicle [5] #autonomousvehicle,#pioneeringminds [4] #selfdrivingcars,#autonomousvehicles [4] elon,musk [3] #tesla,#elonmusk Top Word Pairs in Tweet in G6:
[37] #driverlesscars,#autonomouscars [37] #autonomouscars,#autonomousvehicles [37] #autonomousvehicles,#selfdriving [37] #selfdriving,#driverless [37] #cars,#automotive [34] #selfdrivingcars,#driverlesscars [34] #driverless,#cars [32] #automotive,#transport [7] self,driving [5] pizza,delivery Top Word Pairs in Tweet in G7:
[3] #tesla,#selfdrivingcars [3] tarabull808,elonmusk [3] elonmusk,once [3] once,#selfdrivingcars [3] #selfdrivingcars,established [3] established,society [3] society,next [3] next,step [3] step,#selfowningcars [3] self,driving Top Word Pairs in Tweet in G8:
[37] #selfdrivingcars,#autonomousvehicles [24] pros,cons [24] vehicles,#lidar [24] #lidar,#selfdrivingcars [18] self,driving [16] #ai,#machinelearning [16] #machinelearning,#selfdrivingcars [16] cons,self [16] driving,vehicles [16] #autonomousvehicles,#nio Top Word Pairs in Tweet in G9:
[16] big,milestone [16] milestone,rodneyabrooks [16] rodneyabrooks,long [16] long,skeptic [16] skeptic,self [16] self,driving [16] driving,cars [16] cars,took [16] took,three [16] three,rides Top Word Pairs in Tweet in G10:
[13] remember,nkla [13] nkla,getting [13] getting,punished [13] punished,#sec [13] #sec,advertising [13] advertising,something [13] something,doesnt [13] doesnt,work [13] work,advertised [13] advertised,#tesla Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
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: