The graph represents a network of 2,361 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, 09 September 2020 at 12:43 UTC.
The requested start date was Wednesday, 09 September 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 19-day, 23-hour, 3-minute period from Thursday, 20 August 2020 at 00:06 UTC to Tuesday, 08 September 2020 at 23:10 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 : 2361
Unique Edges : 3195
Edges With Duplicates : 14993
Total Edges : 18188
Number of Edge Types : 5
Retweet : 6428
MentionsInRetweet : 9654
Tweet : 765
Mentions : 1316
Replies to : 25
Self-Loops : 965
Reciprocated Vertex Pair Ratio : 0.0241468126207341
Reciprocated Edge Ratio : 0.0471549827098397
Connected Components : 127
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 2154
Maximum Edges in a Connected Component : 17801
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.229612
Graph Density : 0.00114178852683795
Modularity : 0.221342
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,361 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, 09 September 2020 at 12:43 UTC.
The requested start date was Wednesday, 09 September 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 19-day, 23-hour, 3-minute period from Thursday, 20 August 2020 at 00:06 UTC to Tuesday, 08 September 2020 at 23:10 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:
[1783] #bigdata,#analytics [1778] #analytics,#datascience [1412] #python,#rstats [1356] #iot,#iiot [1257] #ai,#iot [1168] #iiot,#python [998] #datascience,#iot [754] #rstats,#tensorflow [694] self,driving [685] #machinelearning,#algorithms Top Word Pairs in Tweet in G1:
[1712] #bigdata,#analytics [1703] #analytics,#datascience [1352] #python,#rstats [1300] #iot,#iiot [1123] #iiot,#python [942] #datascience,#iot [875] #ai,#iot [719] #rstats,#tensorflow [644] #machinelearning,#algorithms [519] #machinelearning,#bigdata Top Word Pairs in Tweet in G2:
[355] self,driving [197] read,add [167] add,#selfdrivingcars [163] #selfdrivingcars,news [146] autonomous,vehicles [129] #driverlesscars,#autonomouscars [129] group,gets [129] gets,150 [129] 150,million [129] million,partners Top Word Pairs in Tweet in G3:
[147] gt,gt [99] self,driving [90] #ai,#iot [74] mikequindazzi,#ai [64] countries,reward [63] reward,drivers [63] drivers,buying [63] buying,electric [63] electric,cars [63] cars,wef Top Word Pairs in Tweet in G4:
[141] #ai,#iot [59] tesla,#hoverboard [59] #hoverboard,next [59] next,#christmas [59] #christmas,gift [56] enricomolinari,tesla [49] #selfdrivingcars,#autonomousvehicles [49] #marketing,#ai [46] cc,frronconi [46] frronconi,alvinfoo Top Word Pairs in Tweet in G5:
[67] #ai,#iot [65] technologies,next [65] next,decade [65] #iot,#blockchain [65] #blockchain,#3dprint [64] 15,technologies [64] decade,wef [64] wef,jblefevre60 [64] jblefevre60,#ai [64] #3dprint,mobile Top Word Pairs in Tweet in G6:
[25] #machinelearning,#algorithms [25] #algorithms,#bigdata [25] #bigdata,#analytics [25] #analytics,#datascience [25] #datascience,#iot [25] #iot,#iiot [24] #iiot,#python [24] #python,#rstats [22] #rstats,#tensorflow [22] #tensorflow,#javascript Top Word Pairs in Tweet in G7:
[22] robotics,expert [22] expert,sebastianthrun [22] sebastianthrun,convinced [22] convinced,#artificialintelligence [22] #artificialintelligence,revolutionize [22] revolutionize,everyday [22] everyday,lives [22] lives,find [22] find,more [21] boschglobal,robotics Top Word Pairs in Tweet in G8:
[16] #ai,#selfdrivingcars [16] self,driving [16] lanceeliot,#aitrends [13] #aitrends,#selfdriving [13] #selfdriving,#ai [13] #selfdrivingcars,#autonomousdriving [13] #autonomousdriving,#autonomousvehicles [13] #autonomousvehicles,#techbrium [13] #techbrium,#forbes [13] #forbes,#cars Top Word Pairs in Tweet in G9:
[15] #ai,#selfdrivingcars [12] neuralink,showcase [12] showcase,spurs [12] spurs,mind [12] mind,copying [12] copying,discussion [12] discussion,#ai [11] elon,musk [11] musk,neuralink [10] revolution',004 Top Word Pairs in Tweet in G10:
[15] aurrigo,makes [15] makes,breakthrough [15] breakthrough,driverless [15] driverless,pods [15] pods,technology [15] technology,#coventry [15] #coventry,based [15] based,company [15] company,created [15] created,#jobs Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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: