The graph represents a network of 1,673 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, 10 November 2021 at 13:46 UTC.
The requested start date was Wednesday, 10 November 2021 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, 7-hour, 31-minute period from Thursday, 21 October 2021 at 14:18 UTC to Tuesday, 09 November 2021 at 21:49 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 : 1673
Unique Edges : 1918
Edges With Duplicates : 15108
Total Edges : 17026
Number of Edge Types : 5
Retweet : 6467
MentionsInRetweet : 8571
Tweet : 630
Mentions : 1340
Replies to : 18
Self-Loops : 944
Reciprocated Vertex Pair Ratio : 0.0331014631806189
Reciprocated Edge Ratio : 0.0640817274204783
Connected Components : 100
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 1503
Maximum Edges in a Connected Component : 16803
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.262808
Graph Density : 0.00153972321446446
Modularity : 0.177952
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,673 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, 10 November 2021 at 13:46 UTC.
The requested start date was Wednesday, 10 November 2021 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, 7-hour, 31-minute period from Thursday, 21 October 2021 at 14:18 UTC to Tuesday, 09 November 2021 at 21:49 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:
[2217] #iot,#iiot [2104] #bigdata,#analytics [1837] #analytics,#datascience [1651] #datascience,#iot [1228] #machinelearning,#bigdata [1148] #rstats,#reactjs [1073] #python,#rstats [986] #iiot,#rstats [968] #machinelearning,#ai [947] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[112] autonomous,vehicles [103] meet,city [103] city,transformer [102] 98,long [102] long,car [102] car,smaller [102] smaller,meet [102] transformer,digitaltrends [101] digitaltrends,#autonomousvehicles [97] mvollmer1,98 Top Word Pairs in Tweet in G2:
[1874] #iot,#iiot [1805] #bigdata,#analytics [1578] #analytics,#datascience [1416] #datascience,#iot [936] #machinelearning,#bigdata [915] #rstats,#reactjs [896] #python,#rstats [852] #iiot,#rstats [805] #machinelearning,#ai [786] #analytics,#machinelearning Top Word Pairs in Tweet in G3:
[606] #selfdrivingcars,#ai [525] #ai,#iot [485] #iot,#5g [296] #iot,#iiot [268] #machinelearning,#bigdata [261] #bigdata,#analytics [238] #5g,#autonomousvehicles [227] #analytics,#datascience [207] #autonomousvehicles,#selfdriving [206] #datascience,#iot Top Word Pairs in Tweet in G4:
[24] zoox's,#selfdrivingcars [24] #selfdrivingcars,seamlessly [24] seamlessly,navigate [24] navigate,lanes [24] lanes,traffic [24] traffic,vegas [24] vegas,#autonomousvehicles [24] #autonomousvehicles,#ai [20] frronconi,zoox's [20] #ai,#mobilityâ Top Word Pairs in Tweet in G5:
[13] self,driving [6] driving,cars [4] #autonomousvehicles,#selfdrivingcars [3] #innovation,#technology [3] #selfdrivingcars,#ai [3] #driverlesscars,#selfdrivingcars [3] #selfdrivingcars,#autonomousvehicle [3] #autonomousvehicle,#pioneeringminds [3] tsla,#evs [3] #evs,#selfdrivingcars Top Word Pairs in Tweet in G6:
[204] #ai,#selfdrivingcars [195] #selfdrivingcars,#iot [179] mikequindazzi,#ai [162] #iot,#connectedcar [113] #connectedcar,#wearabletech [36] ht,mikequindazzi [35] artificial,intelligence [32] worldtrendsinfo,#ai [31] cc,mikequindazzi [26] mikequindazzi,worldtrendsinfo Top Word Pairs in Tweet in G7:
[8] self,driving [6] #web3,addition [6] addition,#security [6] #security,syntropynet [6] syntropynet,connections [6] connections,include [6] include,performance [6] performance,optimization [6] optimization,default [6] default,consider Top Word Pairs in Tweet in G8:
[56] #electriccars,#cars [55] #cars,#smartcars [48] #smartcars,#selfdrivingcars [43] #selfdrivingcars,#rides [38] #rides,#whips [38] #futurecars,#speed [36] #whips,#futurecars [6] electric,vehicles [5] verge,#electriccars [5] york,times Top Word Pairs in Tweet in G9:
[14] kagan,qualcomm [14] qualcomm,builds [14] builds,connected [14] connected,automotive [14] automotive,intelligence [14] intelligence,5g [14] 5g,rcrwirelessnews [14] rcrwirelessnews,jeffkagan [13] jeffkagan,kagan [13] jeffkagan,qu Top Word Pairs in Tweet in G10:
[18] car,tried [18] tried,kill [18] kill,pacy [18] pacy,action [18] action,packed [18] packed,claustrophobic [18] claustrophobic,clever [18] clever,#centrallocking [17] #centrallocking,99 [14] davidtwilby,car Top Replied-To in Entire Graph:
Top Replied-To in G3:
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 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: