The graph represents a network of 1,744 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 March 2022 at 12:48 UTC.
The requested start date was Wednesday, 30 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 21-day, 23-hour, 8-minute period from Monday, 07 March 2022 at 22:37 UTC to Tuesday, 29 March 2022 at 21:46 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 : 1744
Unique Edges : 2729
Edges With Duplicates : 17154
Total Edges : 19883
Number of Edge Types : 5
Mentions : 2188
Retweet : 5954
MentionsInRetweet : 10717
Replies to : 69
Tweet : 955
Self-Loops : 1309
Reciprocated Vertex Pair Ratio : 0.0361423220973783
Reciprocated Edge Ratio : 0.0697632387493222
Connected Components : 115
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 1572
Maximum Edges in a Connected Component : 19634
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.19233
Graph Density : 0.00182019032881197
Modularity : 0.177994
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,744 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 March 2022 at 12:48 UTC.
The requested start date was Wednesday, 30 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 21-day, 23-hour, 8-minute period from Monday, 07 March 2022 at 22:37 UTC to Tuesday, 29 March 2022 at 21:46 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:
[683] #selfdrivingcars,#ai [664] #ai,#machinelearning [646] #datascientist,#bigdata [622] #ai,#iot [617] #ai,#python [608] #machinelearning,#ai [606] sign,free [606] #ai,#transport [606] #coding,#selfdrivingcars [605] need,#job Top Word Pairs in Tweet in G1:
[610] #selfdrivingcars,#ai [593] #ai,#iot [551] #iot,#5g [360] #ai,#selfdrivingcars [321] #5g,#autonomousvehicles [241] #selfdrivingcars,#autonomousvehicles [236] #startups,#smartcity [218] #robots,#startup [211] #selfdrivingcars,#iot [206] #startup,#startups Top Word Pairs in Tweet in G2:
[194] #machinelearning,#ai [193] #ai,#python [191] #analytics,#machinelearning [190] akwyz,glengilmore [182] jobpreference,need [182] need,#job [182] #job,sign [182] sign,free [182] free,middleman [182] middleman,#ai Top Word Pairs in Tweet in G3:
[398] #ai,#machinelearning [308] #coding,#selfdrivingcars [307] need,#job [307] #job,sign [307] sign,free [307] free,middleman [307] middleman,#ai [307] #ai,#transport [307] #transport,#python [307] #python,#coding Top Word Pairs in Tweet in G4:
[149] #selfdrivingcars,#autonomos [126] #autonomos,#smartcities [100] visualizing,range [100] range,#evs [100] #evs,major [100] major,highway [100] highway,routes [100] routes,cost [100] cost,visualcap [100] visualcap,#selfdrivingcars Top Word Pairs in Tweet in G5:
[41] #selfdrivingcars,#ai [39] #autonomousvehicles,#selfdrivingcars [38] urban,transportation [38] transportation,solution [38] solution,insane [38] insane,gigadgets_ [38] gigadgets_,#autonomousvehicles [36] ronald_vanloon,autonomous [36] #selfdrivingcars,#autonomousvehicles [36] ronald_vanloon,urban Top Word Pairs in Tweet in G6:
[19] self,driving [11] driverless,cars [9] cars,avoid [8] ants,navigation [8] navigation,groups [8] groups,help [8] help,driverless [8] avoid,crashes [8] crashes,wef [8] wef,#ai Top Word Pairs in Tweet in G7:
[37] self,driving [17] driving,cars [10] driving,vehicles [7] read,more [6] #driverlesscars,#selfdrivingcars [6] analysis,reveals [6] reveals,autonomous [6] autonomous,delivery [6] delivery,vehicles [6] reach,200 Top Word Pairs in Tweet in G8:
[16] acabo,experimentar [16] experimentar,futuro [16] futuro,sigo [16] sigo,flipando [16] flipando,increíble [16] increíble,ir [16] ir,taxi [16] taxi,autónomo [16] autónomo,cruise [16] cruise,gratis Top Word Pairs in Tweet in G9:
[32] #electriccars,#cars [30] #cars,#smartcars [27] #smartcars,#selfdrivingcars [21] #selfdrivingcars,#rides [20] #rides,#whips [20] #futurecars,#speed [20] #driverless,#selfdrivingcars [19] #whips,#futurecars [19] #selfdrivingcars,#autonomousvehicles [19] #autonomousvehicles,#transportation Top Word Pairs in Tweet in G10:
[17] video,motion [17] motion,planning [17] planning,robots [17] robots,using [15] algorithm,simulated [14] mahnasakshay,video [8] using,frenet [8] frenet,frame [8] frame,based [8] based,trajectory Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: