The graph represents a network of 1,500 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, 30 November 2022 at 13:50 UTC.
The requested start date was Wednesday, 30 November 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 30-day, 21-hour, 11-minute period from Sunday, 30 October 2022 at 01:27 UTC to Tuesday, 29 November 2022 at 22:39 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 : 1500
Unique Edges : 1722
Edges With Duplicates : 15773
Total Edges : 17495
Number of Edge Types : 5
Retweet : 5902
MentionsInRetweet : 8259
Tweet : 758
Mentions : 2550
Replies to : 26
Self-Loops : 1718
Reciprocated Vertex Pair Ratio : 0.0459644322845417
Reciprocated Edge Ratio : 0.0878890923358619
Connected Components : 130
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 1276
Maximum Edges in a Connected Component : 17208
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.12404
Graph Density : 0.00170024460751612
Modularity : 0.151881
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,500 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, 30 November 2022 at 13:50 UTC.
The requested start date was Wednesday, 30 November 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 30-day, 21-hour, 11-minute period from Sunday, 30 October 2022 at 01:27 UTC to Tuesday, 29 November 2022 at 22:39 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:
[2097] #iot,#5g [1725] #machinelearning,#iot [1715] #ai,#machinelearning [1323] #5g,#deeplearning [1319] #datascientist,#csuite [1318] #web3,#cx [1318] #digitalhealth,#web3 [1318] #csuite,#digitalhealth [1312] #cx,#ehealth [1304] #ehealth,#finserv Top Word Pairs in Tweet in G1:
[1686] #iot,#5g [1409] #machinelearning,#iot [1406] #ai,#machinelearning [1112] #5g,#deeplearning [998] #metaverse,#cx [983] #autonomousvehicles,#metaverse [975] #deeplearning,#autonomousvehicles [760] #cx,#selfdrivingcars [437] #datascience,#bigdata [401] #selfdrivingcars,#smartcity Top Word Pairs in Tweet in G2:
[189] #ai,#python [156] #autonomousvehicles,#selfdrivingcars [130] #analytics,#bigdata [118] #analytics,#machinelearning [114] #bigdata,#ai [104] akwyz,glengilmore [104] #machinelearning,#ai [96] glengilmore,fisheyeboxindia [95] guidaautonoma,#autonomousvehicles [95] #autonomousvehicles,week Top Word Pairs in Tweet in G3:
[418] #ai,#selfdrivingcars [295] #selfdrivingcars,#iot [287] #iot,#5g [270] mikequindazzi,#ai [245] #iot,#connectedcar [189] #ai,#machinelearning [181] #machinelearning,#iot [177] #connectedcar,#wearabletech [151] #5g,#deeplearning [150] #autonomousvehicles,#metaverse Top Word Pairs in Tweet in G4:
[1185] #datascientist,#csuite [1185] #web3,#cx [1185] #csuite,#digitalhealth [1185] #digitalhealth,#web3 [1182] #cx,#ehealth [1174] #ehealth,#finserv [1124] #healthtech,#datascientist [1120] #finserv,#cloud [645] chidambara09,#healthtech [635] #cloud,#insurtechâ Top Word Pairs in Tweet in G5:
[29] self,driving [18] driving,cars [7] autonomous,vehicles [6] #tesla,#selfdrivingcars [5] article,gradient [5] human,drivers [5] actually,less [5] gradient,explain [5] cars,actually [5] less,safe Top Word Pairs in Tweet in G6:
[13] #ai,#artificialintelligence [12] #autonomous,driving [11] testing,#us [11] semi,trucks [11] deployed,first [11] waabi,deployed [11] first,#robotic [11] driving,startup [11] startup,waabi [11] trucks,road Top Word Pairs in Tweet in G7:
[105] #csuite,#digitalhealth [105] #web3,#cx [105] #cx,#ehealth [105] #healthtech,#datascientist [105] #digitalhealth,#web3 [105] #ehealth,#finserv [105] #datascientist,#csuite [104] #finserv,#cloud [104] #cloud,#insurtechâ [104] chidambara09,#healthtech Top Word Pairs in Tweet in G8:
[70] #av,#selfdrivingcars [61] #selfdrivingcars,#autoindustry [47] #autoindustry,#automobileindustry [38] forbes,#av [31] self,driving [23] driving,cars [12] #autoindustry,#automotiveindustry [9] cars,forbes [9] #tesla,crash [8] #ai,self Top Word Pairs in Tweet in G9:
[16] self,driving [16] follow,care [16] #autonomousvehicles,self [16] future,#autonomousvehicles [16] care,engage [16] folks,follow [16] technology,backers [16] poll,much [16] driving,technology [16] much,folks Top Word Pairs in Tweet in G10:
[15] don,try [15] #selfdrivingcars,shit [15] try,#selfdrivingcars [14] whatareyoudeaf,don Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: