The graph represents a network of 1,986 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, 17 June 2020 at 12:44 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 10-day, 1-hour, 34-minute period from Saturday, 06 June 2020 at 21:37 UTC to Tuesday, 16 June 2020 at 23:12 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 : 1986
Unique Edges : 2851
Edges With Duplicates : 9751
Total Edges : 12602
Number of Edge Types : 5
Retweet : 4167
MentionsInRetweet : 6838
Tweet : 608
Mentions : 960
Replies to : 29
Self-Loops : 760
Reciprocated Vertex Pair Ratio : 0.0214974054855448
Reciprocated Edge Ratio : 0.0420899854862119
Connected Components : 104
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 1795
Maximum Edges in a Connected Component : 12338
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.323334
Graph Density : 0.00139820050174902
Modularity : 0.273272
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,986 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, 17 June 2020 at 12:44 UTC.
The requested start date was Wednesday, 17 June 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 10-day, 1-hour, 34-minute period from Saturday, 06 June 2020 at 21:37 UTC to Tuesday, 16 June 2020 at 23:12 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 G2:
[672] self,driving [466] jeroenbartelse,self [405] #ai,#machinelearning [399] driving,cars [395] electric,self [329] driving,vending [302] vending,machine [299] machine,riding [283] riding,around [229] around,chinese Top Word Pairs in Tweet in G3:
[357] gt,gt [178] mikequindazzi,gt [146] #ai,#machinelearning [106] #iot,# [104] #deeplearning,#lidar [90] #lidar,perception [90] perception,enabling [90] enabling,#selfdrivingcars [90] #selfdrivingcars,gt [90] #machinelearning,#iot Top Word Pairs in Tweet in G4:
[880] #selfdrivingcars,#autonomousvehicles [214] #china,complete [145] complete,1st [143] 1st,intelligent [133] intelligent,highway [131] highway,#selfdrivingcars [131] #autonomousvehicles,2022 [131] 2022,xhnews [131] haroldsinnott,#china [131] xhnews,mikequinda Top Word Pairs in Tweet in G5:
[69] #iot,#blockchain [62] next,decade [62] decade,#ai [62] #ai,#iot [62] #blockchain,#3dprint [62] #3dprint,#mobile [62] #mobile,#selfdrivingcars [62] #selfdrivingcars,#internet [61] journey,1g [60] 1g,5g Top Word Pairs in Tweet in G6:
[99] self,driving [98] driving,cars [98] driving,car [97] including,case [96] #selfdrivingcars,#ai [95] cars,#selfdrivingcars [95] listen,official [95] official,trailer [83] trailer,drive [83] limited,series Top Word Pairs in Tweet in G7:
[23] #ai,#4ir [12] #4ir,#iot [7] #iot,#futureofwork [4] #futureofwork,#iiot [4] #iiot,#selfdrivingcars [4] #selfdrivingcars,#connectedcars [4] #connectedcars,#deeplearning [4] iambriangraham,#ai [4] learnwithharry,iambriangraham [4] machine_ml,learnwithharry Top Word Pairs in Tweet in G8:
[45] uber,uoft [45] uoft,vectorinst [45] vectorinst,uberatg [45] #selfdrivingcars,#selfdriving [45] finally,twitter [45] twitter,account [45] account,uber [44] uberatg,#selfdrivingcars [28] #selfdriving,stay [27] stay,safe Top Word Pairs in Tweet in G9:
[27] everything,know [27] know,self [27] self,driving [27] driving,car [26] car,#automation [26] #automation,#autonomousvehicles [26] #autonomousvehicles,#autonomos [26] #autonomos,#robotics [26] #robotics,#vehicles [26] #vehicles,#future Top Word Pairs in Tweet in G10:
[21] read,more [21] more,#autonomousvehicles [21] #autonomousvehicles,#autopilot [21] #autopilot,#cars [21] #cars,#cities [21] #cities,#drones [21] #drones,#future [21] #future,#selfdriving [21] #selfdriving,#selfdrivingairplanes [21] #selfdrivingairplanes,#selfdrivingcars Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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