The graph represents a network of 1,442 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, 23 November 2022 at 13:57 UTC.
The requested start date was Wednesday, 23 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 27-day, 9-hour, 46-minute period from Wednesday, 26 October 2022 at 11:18 UTC to Tuesday, 22 November 2022 at 21:05 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 : 1442
Unique Edges : 1695
Edges With Duplicates : 14637
Total Edges : 16332
Number of Edge Types : 5
Retweet : 5615
MentionsInRetweet : 7366
Mentions : 2375
Tweet : 948
Replies to : 28
Self-Loops : 1984
Reciprocated Vertex Pair Ratio : 0.0445004198152813
Reciprocated Edge Ratio : 0.0852090032154341
Connected Components : 128
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 1232
Maximum Edges in a Connected Component : 16066
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.186268
Graph Density : 0.00179602506735094
Modularity : 0.153454
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,442 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, 23 November 2022 at 13:57 UTC.
The requested start date was Wednesday, 23 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 27-day, 9-hour, 46-minute period from Wednesday, 26 October 2022 at 11:18 UTC to Tuesday, 22 November 2022 at 21:05 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:
[1919] #iot,#5g [1829] #datascientist,#csuite [1829] #web3,#cx [1829] #digitalhealth,#web3 [1829] #csuite,#digitalhealth [1824] #cx,#ehealth [1818] #ehealth,#finserv [1815] #healthtech,#datascientist [1807] #finserv,#cloud [1635] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[1276] #iot,#5g [1255] #ai,#machinelearning [1252] #machinelearning,#iot [1071] #5g,#deeplearning [938] #autonomousvehicles,#metaverse [927] #deeplearning,#autonomousvehicles [921] #metaverse,#cx [716] #cx,#selfdrivingcars [425] #selfdrivingcars,#smartcity [281] #datascience,#bigdata Top Word Pairs in Tweet in G2:
[279] #ai,#selfdrivingcars [251] #iot,#5g [238] #selfdrivingcars,#iot [211] mikequindazzi,#ai [189] #iot,#connectedcar [168] #ai,#machinelearning [158] #machinelearning,#iot [154] #connectedcar,#wearabletech [147] #5g,#deeplearning [145] #selfdrivingcars,#ai Top Word Pairs in Tweet in G3:
[333] #iot,#5g [229] #ai,#iot [218] #selfdrivingcars,#ai [171] #5g,#avs [170] #machinelearning,#iot [137] #datascience,#bigdata [137] #ai,#machinelearning [134] #avs,#autonomousvehicles [126] #smartcity,#robotaxi [124] #ai,#python Top Word Pairs in Tweet in G4:
[131] #datascientist,#csuite [131] #ehealth,#finserv [131] #web3,#cx [131] #csuite,#digitalhealth [131] #healthtech,#datascientist [131] #digitalhealth,#web3 [131] #cx,#ehealth [130] #finserv,#cloud [130] chidambara09,#healthtech [130] #cloud,#insurtechâ Top Word Pairs in Tweet in G5:
[1666] #datascientist,#csuite [1666] #web3,#cx [1666] #csuite,#digitalhealth [1666] #digitalhealth,#web3 [1663] #cx,#ehealth [1657] #ehealth,#finserv [1654] #healthtech,#datascientist [1648] #finserv,#cloud [802] chidambara09,#healthtech [792] #cloud,#insurtechâ Top Word Pairs in Tweet in G6:
[41] self,driving [23] driving,cars [6] autonomous,vehicles [5] article,gradient [5] human,drivers [5] next,year [5] actually,less [5] gradient,explain [5] cars,actually [5] less,safe Top Word Pairs in Tweet in G7:
[12] #autonomous,driving [11] waabi,deployed [11] road,testing [11] testing,#us [11] first,#robotic [11] semi,trucks [11] driving,startup [11] trucks,road [11] deployed,first [11] startup,waabi Top Word Pairs in Tweet in G8:
[13] self,driving [12] much,folks [12] care,engage [12] folks,follow [12] poll,much [12] follow,care [12] engage,future [12] future,#autonomousvehicles [12] #autonomousvehicles,self [12] technology,backers Top Word Pairs in Tweet in G9:
[2] #selfdrivingcars,#autonomousvehicles [2] #innovation,#tech [2] #tech,#technology Top Word Pairs in Tweet in G10:
[65] #av,#selfdrivingcars [57] #selfdrivingcars,#autoindustry [36] #autoindustry,#automobileindustry [36] forbes,#av [30] self,driving [19] driving,cars [12] #autoindustry,#automotiveindustry [10] cars,forbes [9] #tesla,crash [8] interesting,engineering Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
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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: