The graph represents a network of 1,908 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 Thursday, 01 October 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, 16-hour, 44-minute period from Sunday, 20 September 2020 at 06:24 UTC to Tuesday, 29 September 2020 at 23:08 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 : 1908
Unique Edges : 3435
Edges With Duplicates : 14714
Total Edges : 18149
Number of Edge Types : 5
Retweet : 6530
MentionsInRetweet : 9879
Tweet : 693
Mentions : 1024
Replies to : 23
Self-Loops : 920
Reciprocated Vertex Pair Ratio : 0.0201243455497382
Reciprocated Edge Ratio : 0.0394546912590217
Connected Components : 116
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 1725
Maximum Edges in a Connected Component : 17927
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.253107
Graph Density : 0.00171359187545829
Modularity : 0.237956
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,908 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 Thursday, 01 October 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, 16-hour, 44-minute period from Sunday, 20 September 2020 at 06:24 UTC to Tuesday, 29 September 2020 at 23:08 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:
[1194] #machinelearning,#bigdata [1169] #ai,#iot [1029] #artificialintelligence,#machinelearning [900] #programming,#coding [881] #bigdata,#datascience [861] #datascience,#ai [707] #bigdata,#analytics [679] #iot,#python [635] #ai,#machinelearning [627] #python,#rstats Top Word Pairs in Tweet in G1:
[1140] #machinelearning,#bigdata [1051] #ai,#iot [982] #artificialintelligence,#machinelearning [866] #programming,#coding [850] #bigdata,#datascience [828] #datascience,#ai [673] #bigdata,#analytics [658] #iot,#python [602] #python,#rstats [601] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[239] mvollmer1,future [159] future,public [159] public,#transportation [159] #transportation,mt [159] mt,mashable [130] self,driving [130] nicochan33,terenceleungsf [129] terenceleungsf,pawlowskimario [105] #artificialintelligence,#ai [99] #ai,help Top Word Pairs in Tweet in G3:
[230] read,more [189] self,driving [122] more,#autonomousvehicles [103] driving,vehicles [95] #autonomousvehicles,#autopilot [90] autonomous,vehicles [85] #autopilot,#cars [82] autonomy,vehicles [82] vehicles,captures [82] captures,headlines Top Word Pairs in Tweet in G4:
[92] self,driving [35] autonomous,electric [30] #china,#selfdrivingcars [29] #selfdrivingcars,#driverless [29] intengineering,#selfdrivingcars [26] german,space [26] space,agency [26] agency,reveals [26] reveals,autonomous [26] electric,urban Top Word Pairs in Tweet in G5:
[18] 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 G6:
[22] ronald_vanloon,world [22] world,sophisticated [22] sophisticated,roadway [22] roadway,#autonomous [22] #autonomous,vehicles [22] vehicles,#selfdrivingcars [22] #selfdrivingcars,startupselfieco [22] startupselfieco,#transportation [22] #transportation,#ai [12] elon,musk Top Word Pairs in Tweet in G7:
[26] #china,complete [26] complete,1st [26] 1st,intelligent [26] intelligent,highway [26] highway,#selfdrivingcars [26] #selfdrivingcars,#autonomousvehicles [26] #autonomousvehicles,2022 [25] 2022,xhnews [24] haroldsinnott,#china [24] xhnews,mikequindazz 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:
[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 Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: