The graph represents a network of 2,446 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, 18 December 2019 at 20:48 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 11-day, 15-hour, 0-minute period from Friday, 06 December 2019 at 09:56 UTC to Wednesday, 18 December 2019 at 00:56 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 : 2446
Unique Edges : 5859
Edges With Duplicates : 3071
Total Edges : 8930
Number of Edge Types : 3
Mentions : 8196
Tweet : 693
Replies to : 41
Self-Loops : 693
Reciprocated Vertex Pair Ratio : 0.0104720225070334
Reciprocated Edge Ratio : 0.0207269914926527
Connected Components : 156
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 2149
Maximum Edges in a Connected Component : 8612
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.40545
Graph Density : 0.00108101871592032
Modularity : 0.413879
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,446 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, 18 December 2019 at 20:48 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 11-day, 15-hour, 0-minute period from Friday, 06 December 2019 at 09:56 UTC to Wednesday, 18 December 2019 at 00:56 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:
[1724] gt,gt [605] self,driving [594] #ai,#iot [298] mikequindazzi,gt [274] #selfdrivingcars,#ai [270] #iot,#5g [220] #tech,#innovation [210] waymo,#selfdrivingcars [209] #selfdrivingcars,work [208] look,inside Top Word Pairs in Tweet in G1:
[105] #smartcities,#iot [103] vehicles,common [103] common,future [103] future,video [103] #5g,#tech [102] #tech,#innovation [102] #innovation,#smartcities [101] #ai,#iot [92] #drones,#supplychain [91] next,flying Top Word Pairs in Tweet in G2:
[1264] gt,gt [349] #ai,#iot [233] mikequindazzi,gt [220] #selfdrivingcars,#ai [181] #iot,#5g [101] #machinelearning,#ar [100] #ar,tech [100] #smartphone,navigation [90] gt,gigadgets_ [88] ready,#autonomousvehicles Top Word Pairs in Tweet in G3:
[253] gt,gt [105] self,driving [104] #ai,#iot [82] #selfdrivingcars,#autonomousvehicles [64] #ai,#ml [56] #iot,#selfdrivingcars [54] #3d,simulator [54] simulator,provides [54] provides,testbed [54] testbed,#selfdrivingcars Top Word Pairs in Tweet in G4:
[172] self,driving [110] look,inside [110] inside,waymo [110] waymo,#selfdrivingcars [109] #selfdrivingcars,work [109] work,#autonomousvehicles [108] #autonomousvehicles,#driverlesscars [100] #driverlesscars,#digitaltransformation [100] #digitaltransformation,#iot [98] paula_piccard,look Top Word Pairs in Tweet in G5:
[50] #lidar,perception [50] perception,powering [50] powering,#selfdrivingcars [49] #deeplearning,#lidar [49] #selfdrivingcars,nvidia [47] ways,#artificialintelligence [45] #artificialintelligence,approaching [45] approaching,world [45] world,biggest [45] biggest,problems Top Word Pairs in Tweet in G6:
[24] self,driving [13] driving,cars [7] #autonomousvehicles,#selfdrivingcars [6] autonomous,cars [4] #selfdriving,#selfdrivingcars [4] cars,change [4] change,moral [4] moral,decision [4] decision,making [4] #insurtech,#selfdrivingcars Top Word Pairs in Tweet in G7:
[39] #emergingtech,leverages [39] leverages,#ar [39] #ar,help [39] help,drivers [39] drivers,see [39] see,invisible [39] invisible,nissan [39] #iot,#5g [37] nissan,mikequindazzi [37] mikequindazzi,#iot Top Word Pairs in Tweet in G8:
[78] self,driving [36] #selfdrivingcars,#autonomousvehicles [21] driving,cars [16] driving,car [8] forbes,#selfdrivingcars [6] first,cross [6] cross,country [6] driverlessnow,self [5] driving,technology [5] driving,semi Top Word Pairs in Tweet in G9:
[64] pros,cons [64] cons,internet [64] internet,things [64] things,#bigdata [64] #bigdata,#analytics [64] #analytics,#defstar5 [64] #defstar5,#dataanalytics [64] #dataanalytics,#makeyourownlane [64] #makeyourownlane,#bigdata [63] ussllc_,pros Top Word Pairs in Tweet in G10:
[53] self,driving [53] driving,car [52] princess,shanelle [52] shanelle,11 [52] 11,year [52] year,old [52] old,cameroonian [52] cameroonian,made [52] made,ultrasonic [52] ultrasonic,self Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: