The graph represents a network of 1,805 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, 21 October 2020 at 12:45 UTC.
The requested start date was Wednesday, 21 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 8-day, 6-hour, 12-minute period from Monday, 12 October 2020 at 17:48 UTC to Wednesday, 21 October 2020 at 00:00 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 : 1805
Unique Edges : 1728
Edges With Duplicates : 14156
Total Edges : 15884
Number of Edge Types : 5
Retweet : 6667
MentionsInRetweet : 7927
Tweet : 673
Replies to : 20
Mentions : 597
Self-Loops : 902
Reciprocated Vertex Pair Ratio : 0.0185836263184329
Reciprocated Edge Ratio : 0.0364891518737673
Connected Components : 96
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 1631
Maximum Edges in a Connected Component : 15632
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.583717
Graph Density : 0.00124561608245143
Modularity : 0.197609
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,805 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, 21 October 2020 at 12:45 UTC.
The requested start date was Wednesday, 21 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 8-day, 6-hour, 12-minute period from Monday, 12 October 2020 at 17:48 UTC to Wednesday, 21 October 2020 at 00:00 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:
[2369] #bigdata,#iot [2157] #artificialintelligence,#machinelearning [2155] #machinelearning,#bigdata [1938] #iot,#python [1908] #python,#rstats [1654] #datascience,#artificialintelligence [1218] #analytics,#machinelearning [1096] #rstats,#javascript [1062] #iot,#iiot [1048] #machinelearning,#ai Top Word Pairs in Tweet in G1:
[1970] #bigdata,#iot [1798] #machinelearning,#bigdata [1792] #artificialintelligence,#machinelearning [1616] #iot,#python [1593] #python,#rstats [1382] #datascience,#artificialintelligence [953] #analytics,#machinelearning [937] #rstats,#javascript [854] #iot,#iiot [802] #machinelearning,#ai Top Word Pairs in Tweet in G2:
[173] self,driving [159] read,add [129] add,#selfdrivingcars [117] read,more [112] #selfdrivingcars,news [111] #bigdata,#iot [103] #artificialintelligence,#machinelearning [101] #machinelearning,#bigdata [91] #iot,#python [90] #python,#rstats Top Word Pairs in Tweet in G3:
[256] drive,itself [256] itself,using [256] using,19 [256] 19,control [256] control,neurons [256] video,more [253] autonomous,car [253] car,drive [253] neurons,video [249] mit_csail,autonomous Top Word Pairs in Tweet in G4:
[186] #bigdata,#iot [160] #machinelearning,#bigdata [156] #artificialintelligence,#machinelearning [147] #iot,#python [144] #python,#rstats [124] #datascience,#artificialintelligence [112] #analytics,#machinelearning [106] mikequindazzi,#ai [104] #machinelearning,#ai [93] #iot,#iiot Top Word Pairs in Tweet in G5:
[46] margaretsiegien,heinzvhoenen [46] heinzvhoenen,wissen_tech [43] mvollmer1,future [43] future,#autonomousvehicles [43] #autonomousvehicles,#transportation [43] #transportation,cheddar [43] cheddar,mt [43] mt,alvinfoo [43] alvinfoo,margaretsiegien [25] help,prevent Top Word Pairs in Tweet in G6:
[161] read,more [115] #ai,#iot [111] #selfdrivingcars,#ai [106] #iot,#5g [106] more,#autonomousvehicles [98] #autonomousvehicles,#autopilot [93] #autopilot,#cars [92] #cars,#cities [92] #cities,#drones [92] #drones,#future Top Word Pairs in Tweet in G7:
[21] self,driving [9] driving,cars [4] san,francisco [3] #autonomousvehicles,#selfdrivingcars [3] full,self [3] gm's,cruise [2] hackers,use [2] billboards,trick [2] slamming,brakes [2] driving,beta Top Word Pairs in Tweet in G8:
[28] phantom,images [28] images,fool [28] fool,tesla [28] tesla,autopilot [28] autopilot,#tesla [28] #tesla,#hacks [28] #hacks,#selfdrivingcars [28] #selfdrivingcars,#technology [28] #technology,# [27] diebo37,phantom Top Word Pairs in Tweet in G9:
[13] self,driving [12] driving,vehicles [7] here's,updated [7] updated,visual [7] visual,chart [7] chart,saeintl [7] saeintl,levels [7] levels,driving [7] driving,automation [7] automation,standard Top Word Pairs in Tweet in G10:
[25] promised,hour [25] hour,21 [25] 21,minutes [25] minutes,waymo [25] waymo,full [25] full,self [25] self,driving [25] driving,safety [25] safety,driver [25] driver,front Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: