The graph represents a network of 1,611 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, 07 December 2022 at 13:45 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 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, 4-hour, 28-minute period from Thursday, 17 November 2022 at 16:32 UTC to Tuesday, 06 December 2022 at 21:01 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 : 1611
Unique Edges : 2060
Edges With Duplicates : 15736
Total Edges : 17796
Number of Edge Types : 5
Retweet : 5692
MentionsInRetweet : 7969
Tweet : 747
Mentions : 3345
Replies to : 43
Self-Loops : 2151
Reciprocated Vertex Pair Ratio : 0.0384425825529818
Reciprocated Edge Ratio : 0.0740389178927385
Connected Components : 90
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 1470
Maximum Edges in a Connected Component : 17632
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.269597
Graph Density : 0.00162469975440585
Modularity : 0.185609
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,611 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, 07 December 2022 at 13:45 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 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, 4-hour, 28-minute period from Thursday, 17 November 2022 at 16:32 UTC to Tuesday, 06 December 2022 at 21:01 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:
[2374] #datascientist,#csuite [2368] #csuite,#digitalhealth [2366] #cx,#ehealth [2363] #web3,#cx [2363] #digitalhealth,#web3 [2353] #ehealth,#finserv [2341] #healthtech,#smartcity [2340] #smartcity,#datascientist [2123] #finserv,#cloud [1380] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1179] #iot,#5g [1142] #machinelearning,#iot [1015] #ai,#machinelearning [599] #autonomousvehicles,#metaverse [598] #metaverse,#cx [589] #cx,#selfdrivingcars [580] #deeplearning,#autonomousvehicles [571] #5g,#deeplearning [415] #ai,#python [373] #ai,#selfdrivingcars Top Word Pairs in Tweet in G2:
[209] #autonomousvehicles,#selfdrivingcars [183] #datascientist,#csuite [183] #smartcity,#datascientist [183] #ehealth,#finserv [183] #finserv,#cloud [183] #web3,#cx [183] #csuite,#digitalhealth [183] #digitalhealth,#web3 [183] #cx,#ehealth [182] #healthtech,#smartcity Top Word Pairs in Tweet in G3:
[297] gridlock,san [297] causing,gridlock [297] precious,gm [297] singlehandedly,causing [297] subsidiary,cruise [297] san,francisco [297] gm,autonomous [297] robotaxi,subsidiary [297] autonomous,robotaxi [297] cruise,singlehandedly Top Word Pairs in Tweet in G4:
[2142] #datascientist,#csuite [2141] #csuite,#digitalhealth [2141] #cx,#ehealth [2137] #web3,#cx [2137] #digitalhealth,#web3 [2128] #ehealth,#finserv [2117] #healthtech,#smartcity [2115] #smartcity,#datascientist [1898] #finserv,#cloud [1152] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[39] #av,#selfdrivingcars [37] self,driving [35] #autoindustry,#automobileindustry [30] #selfdrivingcars,#autoindustry [26] forbes,#av [25] driving,cars [15] #ai,self [11] ai,learn [11] such,case [11] #ai,#machinelearning Top Word Pairs in Tweet in G6:
[23] self,driving [12] driving,cars [6] #tesla,#selfdrivingcars [4] explain,self [4] article,gradient [4] cars,actually [4] less,safe [4] human,drivers [4] actually,less [4] safe,human Top Word Pairs in Tweet in G7:
[11] traffic,situation [11] waymo,autonomous [11] situation,sf [11] autonomous,jaguar [11] jaguar,pace [11] navigating,incredibly [11] challenging,traffic [11] pace,navigating [11] sf,#selfdrivingcars [11] incredibly,challenging Top Word Pairs in Tweet in G8:
[6] self,driving [4] #driverlesscars,#driverless [4] #driverless,#autonomous [4] #selfdrivingcars,#driverlesscars [4] #selfdriving,#ai [3] 10,influencers [3] top,10 [3] driving,cars [3] guidaautonoma,top [3] #ai,#mobility Top Word Pairs in Tweet in G9:
[15] much,folks [15] care,engage [15] folks,follow [15] self,driving [15] poll,much [15] follow,care [15] engage,future [15] future,#autonomousvehicles [15] #autonomousvehicles,self [15] technology,backers Top Word Pairs in Tweet in G10:
[12] #autonomous,driving [11] startup,waabi [11] deployed,first [11] road,testing [11] testing,#us [11] waabi,deployed [11] #robotic,semi [11] first,#robotic [11] trucks,road [11] driving,startup Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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: