The graph represents a network of 1,831 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, 28 October 2020 at 12:46 UTC.
The requested start date was Wednesday, 28 October 2020 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 10-day, 2-hour, 7-minute period from Saturday, 17 October 2020 at 21:00 UTC to Tuesday, 27 October 2020 at 23:07 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 : 1831
Unique Edges : 1663
Edges With Duplicates : 14180
Total Edges : 15843
Number of Edge Types : 5
Retweet : 6454
MentionsInRetweet : 7839
Tweet : 875
Mentions : 649
Replies to : 26
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.0195978620514126
Reciprocated Edge Ratio : 0.0384423364952571
Connected Components : 158
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 1578
Maximum Edges in a Connected Component : 15506
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.392425
Graph Density : 0.00119556037042674
Modularity : 0.19514
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,831 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, 28 October 2020 at 12:46 UTC.
The requested start date was Wednesday, 28 October 2020 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 10-day, 2-hour, 7-minute period from Saturday, 17 October 2020 at 21:00 UTC to Tuesday, 27 October 2020 at 23:07 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:
[2324] #bigdata,#iot [2120] #machinelearning,#bigdata [1727] #artificialintelligence,#machinelearning [1427] #iot,#python [1384] #python,#rstats [1151] #datascience,#artificialintelligence [1113] #rstats,#javascript [1099] #analytics,#machinelearning [1053] #iot,#iiot [659] #machinelearning,#ai Top Word Pairs in Tweet in G1:
[2255] #bigdata,#iot [2052] #machinelearning,#bigdata [1668] #artificialintelligence,#machinelearning [1377] #iot,#python [1337] #python,#rstats [1124] #datascience,#artificialintelligence [1076] #rstats,#javascript [1041] #analytics,#machinelearning [1009] #iot,#iiot [641] #javascript,#reactjs Top Word Pairs in Tweet in G2:
[140] self,driving [74] #futureofwork,#self [63] ways,#artificialintelligence [63] #artificialintelligence,approaching [63] approaching,world [63] world,biggest [63] biggest,problems [63] problems,wef [57] wef,#ai [54] #ai,#mi Top Word Pairs in Tweet in G3:
[94] read,add [70] add,#selfdrivingcars [66] #selfdrivingcars,news [58] personal,pedal [58] pedal,powered [58] powered,pods [57] #driverlesscars,#autonomouscars [56] #autonomouscars,#autonomousvehicles [55] #selfdriving,#driverless [54] cheddargadgets,enricomolinari Top Word Pairs in Tweet in G4:
[151] #tesla,autopilot [151] autopilot,sees [151] sees,using [151] using,#neuralnetworks [151] #neuralnetworks,take [151] take,70 [151] 70,000 [151] 000,gpu [151] gpu,hours [151] hours,train Top Word Pairs in Tweet in G5:
[58] self,driving [32] driving,cars [8] full,self [8] #ai,#selfdrivingcars [7] #ml,#dl [7] lanceeliot,#aitrends [7] #aitrends,#selfdriving [7] #selfdriving,#ai [6] autonomous,vehicles [6] #selfdrivingcars,#autonomousdriving Top Word Pairs in Tweet in G6:
[11] self,driving [6] driving,beta [6] #tesla,#selfdrivingcars [6] joannmoretti,team [6] team,tesla [6] tesla,collecting [6] collecting,insane [6] insane,amounts [6] amounts,#data [6] #data,full Top Word Pairs in Tweet in G7:
[12] #robots,#deeplearning [11] #aws,#selfdrivingcars [11] build,realtime [11] realtime,custom [11] custom,object [11] object,detector [10] traning,#aws [10] #selfdrivingcars,gonna [10] gonna,try [10] try,same Top Word Pairs in Tweet in G8:
[10] self,driving [10] driving,vehicles [10] gt,gt [6] #bigdata,#iot [6] #iot,#python [5] vehicles,classified [5] classified,six [5] six,levels [5] levels,automation [5] automation,regarding Top Word Pairs in Tweet in G9:
[7] self,driving [6] #tesla,full [6] full,self [6] driving,beta [6] beta,looks [6] looks,scary [6] scary,hell [6] hell,using [6] using,untrained [6] untrained,consumers Top Word Pairs in Tweet in G10:
[182] read,more [95] more,#autonomousvehicles [81] #autonomousvehicles,#autopilot [72] #autopilot,#cars [71] #cars,#cities [71] #cities,#drones [71] #drones,#future [70] autonomous,vehicles [70] #future,#selfdriving [70] #selfdriving,#selfdrivingairplanes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: