The graph represents a network of 1,892 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 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 30 September 2020 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 9-day, 17-hour, 46-minute period from Sunday, 20 September 2020 at 04:27 UTC to Tuesday, 29 September 2020 at 22:14 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 : 1892
Unique Edges : 3415
Edges With Duplicates : 14706
Total Edges : 18121
Number of Edge Types : 5
Retweet : 6534
MentionsInRetweet : 9845
Tweet : 696
Mentions : 1024
Replies to : 22
Self-Loops : 920
Reciprocated Vertex Pair Ratio : 0.0202970297029703
Reciprocated Edge Ratio : 0.0397865114022319
Connected Components : 117
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 1708
Maximum Edges in a Connected Component : 17897
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.250823
Graph Density : 0.00172817049269769
Modularity : 0.234377
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,892 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 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 30 September 2020 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 9-day, 17-hour, 46-minute period from Sunday, 20 September 2020 at 04:27 UTC to Tuesday, 29 September 2020 at 22:14 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:
[1254] #machinelearning,#bigdata [1209] #ai,#iot [1095] #artificialintelligence,#machinelearning [929] #bigdata,#datascience [900] #datascience,#ai [893] #programming,#coding [717] #iot,#python [716] #bigdata,#analytics [666] #python,#rstats [626] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[1200] #machinelearning,#bigdata [1087] #ai,#iot [1050] #artificialintelligence,#machinelearning [897] #bigdata,#datascience [864] #datascience,#ai [858] #programming,#coding [693] #iot,#python [679] #bigdata,#analytics [639] #python,#rstats [592] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[230] self,driving [223] read,more [118] more,#autonomousvehicles [92] #autonomousvehicles,#autopilot [89] autonomous,vehicles [82] autonomy,vehicles [82] vehicles,captures [82] captures,headlines [82] headlines,spans [82] spans,much Top Word Pairs in Tweet in G3:
[232] mvollmer1,future [154] future,public [154] public,#transportation [154] #transportation,mt [154] mt,mashable [127] nicochan33,terenceleungsf [126] terenceleungsf,pawlowskimario [98] #artificialintelligence,#ai [93] #ai,help [93] help,prevent Top Word Pairs in Tweet in G4:
[100] self,driving [96] driving,vehicles [73] vehicles,classified [73] classified,six [73] six,levels [73] levels,automation [73] automation,regarding [72] regarding,intensity [72] intensity,control [71] control,car Top Word Pairs in Tweet in G5:
[20] trust,bias [20] bias,robots [20] ronald_vanloon,world [20] world,sophisticated [20] sophisticated,roadway [20] roadway,#autonomous [20] #autonomous,vehicles [20] vehicles,#selfdrivingcars [20] #selfdrivingcars,startupselfieco [20] startupselfieco,#transportation Top Word Pairs in Tweet in G6:
[17] self,driving [9] driving,cars [5] #selfdrivingcars,#ai [4] self,drive [4] #tesla,#selfdrivingcars [3] drive,cars [3] #iot,#selfdrivingcars [3] #selfdrivingcars,#autonomousvehicles [3] elon,musk [3] full,self Top Word Pairs in Tweet in G7:
[25] #china,complete [25] complete,1st [25] 1st,intelligent [25] intelligent,highway [25] highway,#selfdrivingcars [25] #selfdrivingcars,#autonomousvehicles [25] #autonomousvehicles,2022 [25] 2022,xhnews [24] future,#smartcities [24] #smartcities,geoworldmedia Top Word Pairs in Tweet in G8:
[31] #emergingtech,leverages [31] leverages,#ar [31] #ar,help [31] help,drivers [31] drivers,see [31] see,invisible [31] invisible,#iot [31] #iot,#5g [31] #5g,#selfdrivingcars [31] #selfdrivingcars,#autonomousdriving Top Word Pairs in Tweet in G9:
[6] congratulations,mavric [6] mavric,coauthors [6] coauthors,led [6] led,hazevedosa [6] hazevedosa,paper [6] paper,time [6] time,estimation [6] estimation,drivers [6] drivers,trust [5] lionelrobertjr,congratulations Top Word Pairs in Tweet in G10:
[13] futuristic,smart [13] smart,car [13] car,fit [13] fit,places [13] places,normal [13] normal,cars [13] cars,#electricvehicles [13] #electricvehicles,#innovation [13] #innovation,#selfdrivingcars [13] #selfdrivingcars,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: