The graph represents a network of 2,427 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, 26 August 2020 at 12:45 UTC.
The requested start date was Wednesday, 26 August 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 14-day, 15-hour, 15-minute period from Friday, 07 August 2020 at 21:01 UTC to Saturday, 22 August 2020 at 12:17 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 : 2427
Unique Edges : 3517
Edges With Duplicates : 15207
Total Edges : 18724
Number of Edge Types : 5
Retweet : 6335
MentionsInRetweet : 10063
Tweet : 857
Mentions : 1434
Replies to : 35
Self-Loops : 989
Reciprocated Vertex Pair Ratio : 0.0217195925704014
Reciprocated Edge Ratio : 0.0425157601524703
Connected Components : 172
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 2113
Maximum Edges in a Connected Component : 18331
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.21288
Graph Density : 0.00115847716215385
Modularity : 0.226057
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,427 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, 26 August 2020 at 12:45 UTC.
The requested start date was Wednesday, 26 August 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 14-day, 15-hour, 15-minute period from Friday, 07 August 2020 at 21:01 UTC to Saturday, 22 August 2020 at 12:17 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:
[1804] #ai,#iot [1087] #bigdata,#analytics [1019] #iot,#iiot [873] self,driving [842] #analytics,#datascience [770] #python,#rstats [744] #iiot,#python [695] #datascience,#ai [640] #iot,#blockchain [599] gt,gt Top Word Pairs in Tweet in G1:
[366] self,driving [171] driving,cars [148] read,add [120] add,#selfdrivingcars [112] #selfdrivingcars,news [107] jeroenbartelse,self [96] linux,multifunctional [96] multifunctional,capsule [96] capsule,concept [96] sky,land Top Word Pairs in Tweet in G2:
[1257] #ai,#iot [1048] #bigdata,#analytics [985] #iot,#iiot [811] #analytics,#datascience [749] #python,#rstats [725] #iiot,#python [668] #datascience,#ai [416] #selfdrivingcars,#ai [366] #iot,#5g [337] #bigdata,#datascience Top Word Pairs in Tweet in G3:
[273] #ai,#iot [232] next,decade [232] #iot,#blockchain [232] #blockchain,#3dprint [138] gt,gt [119] decade,#ai [118] 15,technologies [118] technologies,next [115] #3dprint,mobile [114] 15,#technologies Top Word Pairs in Tweet in G4:
[406] read,more [237] more,#autonomousvehicles [227] self,driving [175] #autonomousvehicles,#autopilot [166] #autopilot,#cars [155] #cars,#cities [149] #cities,#drones [149] #drones,#future [149] #future,#selfdriving [149] #selfdriving,#selfdrivingairplanes Top Word Pairs in Tweet in G5:
[80] gigadgets_,enricomolinari [77] ty,gigadgets_ [60] enricomolinari,tesla [59] #ai,#iot [55] future,airplane [55] airplane,travel [55] travel,gives [55] gives,economy [55] economy,passenger [55] passenger,lie Top Word Pairs in Tweet in G6:
[25] self,driving [11] driving,cars [9] testing,#selfdrivingcars [7] interesting,perspectives [7] perspectives,#autonomousvehicles [7] #autonomousvehicles,challenges [7] challenges,testing [7] #selfdrivingcars,ensure [5] driving,car [4] ensure,safe Top Word Pairs in Tweet in G7:
[29] next,decade [29] decade,#ai [29] #ai,#iot [29] #iot,#blockchain [29] #blockchain,#3dprint [28] 15,technologies [28] technologies,next [28] #3dprint,mobile [28] mobile,#selfdrivingcars [28] #selfdrivingcars,internet Top Word Pairs in Tweet in G8:
[34] robotics,expert [34] expert,sebastianthrun [34] sebastianthrun,convinced [34] convinced,#artificialintelligence [34] #artificialintelligence,revolutionize [34] revolutionize,everyday [34] everyday,lives [34] lives,find [34] find,more [32] boschglobal,robotics Top Word Pairs in Tweet in G9:
[4] self,driving [3] noddynoo,vbaileyactor [3] vbaileyactor,riblessman [3] riblessman,local [3] local,business [3] business,driven [3] driven,bankruptcy [3] bankruptcy,fed [3] canoo,vehicle [3] vehicle,similar Top Word Pairs in Tweet in G10:
[6] #selfdrivingcars,winning [6] winning,technative [6] technative,#tesla [6] #tesla,#waymo [6] #waymo,#toyota [6] #toyota,#nvidia [6] #nvidia,#android [5] wireless,industry [5] industry,continues [5] continues,strong 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 G5:
Top Replied-To in G9:
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: