The graph represents a network of 1,249 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, 14 December 2022 at 13:49 UTC.
The requested start date was Wednesday, 14 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 13-day, 10-hour, 45-minute period from Wednesday, 30 November 2022 at 12:13 UTC to Tuesday, 13 December 2022 at 22:58 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 : 1249
Unique Edges : 1372
Edges With Duplicates : 13837
Total Edges : 15209
Number of Edge Types : 5
Retweet : 5086
MentionsInRetweet : 5659
Mentions : 3734
Replies to : 67
Tweet : 663
Self-Loops : 2475
Reciprocated Vertex Pair Ratio : 0.0472714633298575
Reciprocated Edge Ratio : 0.0902754729505476
Connected Components : 63
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 1150
Maximum Edges in a Connected Component : 15089
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.106605
Graph Density : 0.00193295662170762
Modularity : 0.150462
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,249 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, 14 December 2022 at 13:49 UTC.
The requested start date was Wednesday, 14 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 13-day, 10-hour, 45-minute period from Wednesday, 30 November 2022 at 12:13 UTC to Tuesday, 13 December 2022 at 22:58 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:
[4235] #datascientist,#csuite [4232] #smartcity,#datascientist [4231] #healthtech,#smartcity [4229] #csuite,#digitalhealth [4222] #digitalhealth,#web3 [4215] #web3,#cx [4204] #cx,#ehealth [4185] #ehealth,#finserv [2478] chidambara09,#healthtech [2348] #finserv,#cloud Top Word Pairs in Tweet in G1:
[4045] #datascientist,#csuite [4043] #smartcity,#datascientist [4041] #healthtech,#smartcity [4039] #csuite,#digitalhealth [4033] #digitalhealth,#web3 [4027] #web3,#cx [4023] #cx,#ehealth [4008] #ehealth,#finserv [2298] chidambara09,#healthtech [2218] #finserv,#cloud Top Word Pairs in Tweet in G2:
[108] #autonomousvehicles,#selfdrivingcars [86] #ai,#artificialintelligence [49] #rpa,#automation [49] #driverless,delivery [49] #artificialintelligence,#rpa [49] delivery,trucks [49] trucks,mvollmer1 [49] mvollmer1,#ai [48] ronald_vanloon,#driverless [47] #iot,#5g Top Word Pairs in Tweet in G3:
[187] gm,autonomous [187] autonomous,robotaxi [187] cruise,singlehandedly [187] precious,gm [187] subsidiary,cruise [187] causing,gridlock [187] robotaxi,subsidiary [187] singlehandedly,causing [187] san,francisco [187] gridlock,san Top Word Pairs in Tweet in G4:
[51] #iot,#5g [43] self,driving [42] #ai,#iot [42] #selfdrivingcars,#ai [36] #ai,#selfdrivingcars [26] #selfdrivingcars,#iot [24] #iot,#connectedcar [23] #machinelearning,#iot [22] mikequindazzi,#ai [21] #5g,#avs Top Word Pairs in Tweet in G5:
[60] #selfdrivingcars,#autonomos [55] #iot,#5g [53] #autonomos,#iot [35] #ebike,#evs [35] #evs,#selfdrivingcars [32] #datascientist,#csuite [32] #smartcity,#datascientist [32] #ehealth,#finserv [32] #web3,#cx [32] #tech,#innovation Top Word Pairs in Tweet in G6:
[119] #machinelearning,#iot [107] #cx,#selfdrivingcars [107] #selfdrivingcars,#smartcity [105] #smartcity,#autonomousvehicles [105] #autonomousvehicles,#datascience [100] #ai,#machinelearning [74] world,data [74] #iiot,#cx [74] data,#ai [74] #iot,#iiot Top Word Pairs in Tweet in G7:
[17] self,driving [9] driving,cars [4] explain,self [4] less,safe [4] safe,human [4] article,gradient [4] actually,less [4] human,drivers [4] cars,actually [4] gradient,explain Top Word Pairs in Tweet in G8:
[18] #autonomousvehicles,#selfdrivingcars [11] finally,hit [11] tesla,intengineering [11] #selfdrivingcars,#electric [11] next,year [11] intengineering,#autonomousvehicles [11] hit,roads [11] beast,finally [11] roads,next [11] year,tesla Top Word Pairs in Tweet in G9:
[135] #web3,#cx [135] #smartcity,#datascientist [135] #csuite,#digitalhealth [135] #digitalhealth,#web3 [135] #healthtech,#smartcity [135] #datascientist,#csuite [134] chidambara09,#healthtech [129] #cx,#ehealth [126] #ehealth,#finserv [111] #finserv,#cloud Top Word Pairs in Tweet in G10:
[9] fully,#autonomousvehicles [9] study,analyzed [9] less,#workplace [9] #autonomousvehicles,study [9] commuter,parking [9] parking,decline [9] analyzed,whether [9] #workplace,#parking [9] whether,commuter [9] #parking,fully Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
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: