The graph represents a network of 1,479 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, 16 June 2021 at 12:44 UTC.
The requested start date was Wednesday, 16 June 2021 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 11-day, 7-hour, 30-minute period from Friday, 04 June 2021 at 14:03 UTC to Tuesday, 15 June 2021 at 21:34 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 : 1479
Unique Edges : 1714
Edges With Duplicates : 14806
Total Edges : 16520
Number of Edge Types : 5
Mentions : 1000
Retweet : 6679
MentionsInRetweet : 8251
Tweet : 560
Replies to : 30
Self-Loops : 810
Reciprocated Vertex Pair Ratio : 0.0282892981051508
Reciprocated Edge Ratio : 0.0550220607318972
Connected Components : 90
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 1330
Maximum Edges in a Connected Component : 16324
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.342026
Graph Density : 0.00176261069497091
Modularity : 0.172759
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,479 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, 16 June 2021 at 12:44 UTC.
The requested start date was Wednesday, 16 June 2021 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 11-day, 7-hour, 30-minute period from Friday, 04 June 2021 at 14:03 UTC to Tuesday, 15 June 2021 at 21:34 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:
[3258] #iot,#iiot [3068] #python,#rstats [2463] #rstats,#reactjs [2186] #reactjs,#iot [2175] #ai,#python [2071] #analytics,#machinelearning [2011] #machinelearning,#ai [1983] #machinelearning,#bigdata [1880] #bigdata,#analytics [1670] #analytics,#datascience Top Word Pairs in Tweet in G1:
[91] self,driving [64] driverless,taxi [64] taxi,service [59] mashable,enricomolinari [56] jeroenbartelse,self [53] around,world [47] taxi,future [37] #china,#selfdrivingcars [37] #autonomousvehicles,#selfdrivingcars [36] small,area Top Word Pairs in Tweet in G2:
[2684] #iot,#iiot [2557] #python,#rstats [2053] #rstats,#reactjs [1823] #reactjs,#iot [1806] #ai,#python [1716] #analytics,#machinelearning [1664] #machinelearning,#ai [1543] #machinelearning,#bigdata [1522] #bigdata,#analytics [1352] #analytics,#datascience Top Word Pairs in Tweet in G3:
[469] #selfdrivingcars,#ai [439] #ai,#iot [439] #iot,#iiot [414] #iot,#5g [396] #python,#rstats [336] #machinelearning,#bigdata [328] #rstats,#reactjs [294] #ai,#python [292] #reactjs,#iot [282] #analytics,#machinelearning Top Word Pairs in Tweet in G4:
[151] self,driving [120] read,add [116] #driverlesscars,#autonomouscars [116] #autonomouscars,#autonomousvehicles [114] add,#selfdrivingcars [107] #selfdrivingcars,news [107] #cars,#automotive [102] #selfdriving,#driverless [99] #iot,#iiot [87] #python,#rstats Top Word Pairs in Tweet in G5:
[14] self,driving [8] #autonomousvehicles,#selfdrivingcars [7] driving,cars [6] autonomous,vehicles [4] #drones,#robots [4] #robots,#forklifts [4] #av,#avs [3] #selfdrivingcars,#autonomousvehicles [3] decades,away [3] #electricvehicles,#selfdrivingcars Top Word Pairs in Tweet in G6:
[3] #selfdrivingcars,challenge [3] raquelurtasun,raises [3] raises,83 [3] 83,million [3] china,leading [3] leading,l4 [3] l4,#autonomous [3] #autonomous,company [3] company,weride_ai [3] weride_ai,deploying Top Word Pairs in Tweet in G7:
[2] tesla,fsd [2] fsd,exits [2] exits,95 [2] 95,turns [2] turns,onto [2] onto,mlk [2] mlk,blvd [2] v2021,18 [2] 18,timdoes [2] timdoes,autopilot Top Word Pairs in Tweet in G8:
[2] #iot,#robotics [2] check,nissan [2] nissan,developing [2] developing,brain [2] brain,car [2] car,interface [2] interface,enable [2] enable,drive [2] drive,thoughts [2] thoughts,#technology Top Word Pairs in Tweet in G9:
[5] self,driving [5] elon,musk [4] wsj,mims [3] mims,wsj [3] driving,#cars [3] #cars,decades [3] decades,away [3] away,matter [3] matter,elon [3] musk,gt Top Word Pairs in Tweet in G10:
[13] #electriccars,#future [12] #future,#futureatfullspeed [11] #smartcars,#selfdrivingcars [10] #futureatfullspeed,#smartcars [4] #environment,#ecosystem [4] #ecosystem,#climatechange [4] #climatechange,#climateaction [4] #climateaction,#electriccars [3] biofuels,terrible [3] terrible,#environment Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: