The graph represents a network of 1,630 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, 08 June 2022 at 12:39 UTC.
The requested start date was Wednesday, 08 June 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, 3-hour, 29-minute period from Tuesday, 17 May 2022 at 19:32 UTC to Tuesday, 07 June 2022 at 23:02 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 : 1630
Unique Edges : 2243
Edges With Duplicates : 15456
Total Edges : 17699
Number of Edge Types : 5
MentionsInRetweet : 8752
Mentions : 1787
Retweet : 6149
Tweet : 969
Replies to : 42
Self-Loops : 1346
Reciprocated Vertex Pair Ratio : 0.0451821115721531
Reciprocated Edge Ratio : 0.086457873842082
Connected Components : 129
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 1424
Maximum Edges in a Connected Component : 17420
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.437913
Graph Density : 0.00170754763169094
Modularity : 0.1728
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,630 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, 08 June 2022 at 12:39 UTC.
The requested start date was Wednesday, 08 June 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, 3-hour, 29-minute period from Tuesday, 17 May 2022 at 19:32 UTC to Tuesday, 07 June 2022 at 23:02 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:
[1883] #ai,#machinelearning [1350] #machinelearning,#selfdrivingcars [1172] #selfdrivingcars,#autonomousvehicles [808] #bigdata,#analytics [712] #coding,#programming [693] #programming,#python [664] #selfdrivingcars,#ai [653] #ai,#iot [622] #python,#javascript [622] #analytics,#datascience Top Word Pairs in Tweet in G1:
[355] #ai,#machinelearning [221] #machinelearning,#selfdrivingcars [160] #coding,#programming [153] #programming,#python [152] #selfdrivingcars,#autonomousvehicles [144] #iot,#iiot [143] #bigdata,#analytics [138] #bigdata,#ai [137] #python,#javascript [135] #analytics,#bigdata Top Word Pairs in Tweet in G2:
[637] #ai,#machinelearning [520] #chip,#aichip [520] #aichip,#selfdrivingcars [510] #ai,#iot [484] #selfdrivingcars,#ai [464] #machinelearning,#selfdrivingcars [447] #iot,#5g [426] #selfdrivingcars,#technology [415] #technology,#smartphones [403] #selfdrivingcars,#autonomousvehicles Top Word Pairs in Tweet in G3:
[809] #ai,#machinelearning [600] #machinelearning,#selfdrivingcars [456] #selfdrivingcars,#autonomousvehicles [422] #bigdata,#analytics [372] #analytics,#datascience [314] #coding,#programming [308] #programming,#python [279] #python,#javascript [276] #autonomousvehicles,#bigdata [267] #datascientist,#bigdata Top Word Pairs in Tweet in G4:
[52] #selfdrivingcars,#ai [42] motorcycle,transform [42] transform,flying [42] flying,vehicle [42] vehicle,startupselfie [42] startupselfie,#selfdrivingcars [42] #ai,#iot [42] #iot,#smartcities [42] #smartcities,cc [40] ronald_vanloon,motorcycle Top Word Pairs in Tweet in G5:
[111] #selfdrivingcars,#autonomousvehicles [83] #ai,#selfdrivingcars [81] #selfdrivingcars,#ai [75] #ai,#iot [68] #ai,#machinelearning [65] jobpreference,need [65] need,#job [65] #job,sign [65] sign,free [65] free,middleman Top Word Pairs in Tweet in G6:
[18] self,driving [7] autonomous,vehicles [6] driving,cars [5] driving,car [5] #driverlesscars,#selfdrivingcars [5] #selfdrivingcars,#autonomousvehicle [5] #autonomousvehicle,#pioneeringminds [4] geely,sent [4] sent,nine [4] nine,leosats Top Word Pairs in Tweet in G7:
[28] #electriccars,#cars [28] #cars,#smartcars [28] #smartcars,#selfdrivingcars [21] #futurecars,#speed [19] #selfdrivingcars,#rides [19] #rides,#whips [19] #whips,#futurecars [8] elon,barely [8] barely,manage [8] manage,one Top Word Pairs in Tweet in G8:
[7] self,driving [5] #autoindustry,#automobileindustry [4] #selfdrivingcars,#av [4] #av,#autoindustry [4] verge,#selfdrivingcars [4] tesla,#selfdrivingcars [3] tesla,full [3] full,self [3] driving,made [3] made,man Top Word Pairs in Tweet in G9:
[23] ai,ethics [14] lanceeliot,#selfdriving [14] #selfdriving,#ai [14] #ai,#selfdrivingcars [14] #selfdrivingcars,#autonomousdriving [14] #autonomousdriving,#autonomousvehicles [14] #autonomousvehicles,#forbes [14] #forbes,#cars [14] #cars,#tech [14] #tech,#driverless Top Word Pairs in Tweet in G10:
[16] big,milestone [16] milestone,rodneyabrooks [16] rodneyabrooks,long [16] long,skeptic [16] skeptic,self [16] self,driving [16] driving,cars [16] cars,took [16] took,three [16] three,rides Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: