The graph represents a network of 1,613 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, 26 January 2022 at 13:49 UTC.
The requested start date was Wednesday, 26 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 15-day, 8-hour, 26-minute period from Thursday, 06 January 2022 at 13:01 UTC to Friday, 21 January 2022 at 21:27 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 : 1613
Unique Edges : 3392
Edges With Duplicates : 18189
Total Edges : 21581
Number of Edge Types : 5
Mentions : 2139
MentionsInRetweet : 12296
Retweet : 6335
Tweet : 744
Replies to : 67
Self-Loops : 1028
Reciprocated Vertex Pair Ratio : 0.0292610348817986
Reciprocated Edge Ratio : 0.0568583360102795
Connected Components : 128
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 1408
Maximum Edges in a Connected Component : 21276
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.151288
Graph Density : 0.00239447171631241
Modularity : 0.177175
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,613 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, 26 January 2022 at 13:49 UTC.
The requested start date was Wednesday, 26 January 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 15-day, 8-hour, 26-minute period from Thursday, 06 January 2022 at 13:01 UTC to Friday, 21 January 2022 at 21:27 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:
[1534] #ai,#datascientist [1513] #datascientist,#bigdata [1265] #bigdata,#machinelearning [1100] #ai,#transport [1100] #transport,#python [1100] #python,#coding [1095] need,job [1095] job,sign [1095] sign,middleman [1095] middleman,free Top Word Pairs in Tweet in G1:
[89] #ai,#machinelearning [81] deliver,packages [81] china,gigadgets_ [79] self,driving [79] gigadgets_,#ai [75] around,cities [75] #ai,#artificialintelligence [73] unmanned,vehicles [73] vehicles,deliver [73] packages,around Top Word Pairs in Tweet in G2:
[540] #selfdrivingcars,#ai [530] #ai,#iot [427] #iot,#5g [351] #ai,#selfdrivingcars [336] #ai,#datascientist [329] #datascientist,#bigdata [294] #bigdata,#machinelearning [250] #ai,#transport [250] #transport,#python [250] #python,#coding Top Word Pairs in Tweet in G3:
[774] #ai,#transport [774] #transport,#python [774] #python,#coding [770] need,job [770] job,sign [770] sign,middleman [770] middleman,free [770] free,charge [770] charge,#ai [615] jobpreference,need Top Word Pairs in Tweet in G4:
[657] #ai,#datascientist [641] #datascientist,#bigdata [531] #bigdata,#machinelearning [442] #machinelearning,#analytics [306] #analytics,#datascience [262] #datascience,#rstats [208] #rstats,#javascript [152] #javascript,#python [133] #machinelearning,#ai [105] #python,#serverless Top Word Pairs in Tweet in G5:
[33] self,driving [13] driving,cars [8] #autonomousvehicles,#selfdrivingcars [6] #selfdrivingcars,#automotive [6] #automotive,#electriccars [5] major,automakers [5] ties,key [5] #tesla,#selfdrivingcars [4] autonomous,driving [4] driving,vehicles Top Word Pairs in Tweet in G6:
[50] #driverlesscars,#autonomouscars [47] #autonomouscars,#autonomousvehicles [45] #cars,#automotive [42] #selfdriving,#driverless [37] #electriccars,#cars [37] #cars,#smartcars [36] #autonomousvehicles,#selfdriving [34] #smartcars,#selfdrivingcars [33] self,driving [33] #selfdrivingcars,#rides Top Word Pairs in Tweet in G7:
[5] self,driving [4] fsd,subscription [4] #ev,#electricvehicles [4] imagine,future [4] future,kitty [4] kitty,exploded [4] exploded,tesla [4] tesla,#kittyinu [4] #kittyinu,#kittykart [4] #kittykart,#kittyverse Top Word Pairs in Tweet in G8:
[25] car,tried [25] tried,kill [25] kill,pacy [25] pacy,action [25] action,packed [25] packed,claustrophobic [25] claustrophobic,clever [25] clever,#centrallocking [25] #centrallocking,99 [21] davidtwilby,car Top Word Pairs in Tweet in G9:
[15] experiencing,revolution [15] revolution,driverless [15] driverless,technology [15] technology,maybe [15] maybe,near [15] near,future [15] future,vehicles [15] vehicles,road [14] ai_mogo,experiencing [14] road,comp Top Word Pairs in Tweet in G10:
[13] #selfdrivingcars,require [13] require,connections [13] connections,lowest [13] lowest,#latency [13] #latency,possible [13] possible,#medicaliot [13] #medicaliot,use [13] use,cases [13] cases,particularly [13] particularly,remote Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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 G9:
Top Tweeters in G10: